Processor list

This page contains detailed information on all processors offered by Document AI. You can see a list of all processors by solution type.

All Document AI processors adhere to the Data Processing and Security Terms.

Refer to the Managing processor versions documentation for more details. Also, specific processor limits apply in addition to overall product quotas and limits.

Digitize text

Enterprise Document OCR (Optical Character Recognition)

Description

Identify and extract text in different types of documents.

This processor allows you to identify and extract text, including handwritten text, from documents in more than 200 languages. The processor also uses machine learning to perform a quality assessment of a document based on the readability of its content.
Category Digitize
Functions OCR, Quality Analysis
Release stage General availability
Access status Public
Type in API OCR_PROCESSOR
Supported languages
Full list of languages
Language Name BCP 47 Tag Script Handwriting supported
Afrikaans af Latn
Albanian sq Latn
Arabic ar Arab
Armenian hy Armn
Belarusian be Cyrl
Bangla bn Beng
Bengali bn Beng
Bulgarian bg Cyrl
Catalan ca Latn
Chinese zh Hani
Croatian hr Latn
Czech cs Latn
Danish da Latn
Dutch nl Latn
English en Latn
Estonian et Latn
Filipino fil Latn
Finnish fi Latn
French fr Latn
German de Latn
Greek el Grek
Gujarati gu Gujr
Hebrew iw Hebr
Hindi hi Deva
Hungarian hu Latn
Icelandic is Latn
Indonesian id Latn
Italian it Latn
Japanese ja Jpan
Kannada kn Knda
Khmer km Khmr
Korean ko Kore
Lao lo Laoo
Latvian lv Latn
Lithuanian lt Latn
Macedonian mk Cyrl
Malay ms Latn
Malayalam ml Mlym
Marathi mr Deva
Nepali ne Deva
Norwegian no Latn
Persian fa Arab
Polish pl Latn
Portuguese (Portugal & Brazil) pt Latn
Punjabi pa Guru
Romanian ro Latn
Russian ru Cyrl
Serbian sr Cyrl
Slovak sk Latn
Slovenian sl Latn
Spanish es Latn
Swedish sv Latn
Tagalog tl Latn
Tamil ta Taml
Telugu te Telu
Thai th Thai
Turkish tr Latn
Ukrainian uk Cyrl
Vietnamese vi Latn
Yiddish yi Hebr
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-ocr-v1.0-2020-09-23 Stable

None

None

 Not recommended for use and will be discontinued in the United States (US) and European Union (EU) starting April 30, 2025.
pretrained-ocr-v1.1-2022-09-12 Stable

None

None

 Not recommended for use and will be discontinued in the United States (US) and European Union (EU) starting April 30, 2025.
pretrained-ocr-v1.2-2022-11-10 Stable

None

None

 Frozen model version of v1.0: Model files, configurations, and binaries of a version snapshot frozen in a container image for up to 18 months.
pretrained-ocr-v2.0-2023-06-02 Stable

None

None

 Production-ready model specialized for document use cases. Includes access to all OCR add-ons.
pretrained-ocr-v2.1-2024-08-07 Release candidate

None

None

 The main areas of improvement for v2.1 are: better printed text recognition, more precise checkbox detection and more accurate reading order.

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 500
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • eu
  • europe-west2
  • europe-west3
  • northamerica-northeast1
  • us
More information Enterprise Document OCR

Extract entities from documents

Refer to Sample datasets for sample labeled and unlabeled datasets to use for training.

Custom Extractor

Description

Extract fields from documents using generative AI or custom models; fine tune models to accurately extract data from your documents.
Category Extract
Functions OCR, Entity Extraction
Release stage General availability
Access status Public
Type in API CUSTOM_EXTRACTION_PROCESSOR
Notes

  • If using generative AI for extraction, then:

    • Only the English language is officially supported.
    • Region availability is in the US, EU, northamerica-northeast1 and asia-southeast1.
Supported languages
Full list of languages
Language Name BCP 47 Tag Script Handwriting supported
Afrikaans af Latn
Arabic ar Arab
Azerbaijani az Latn
Azerbaijani (Cyrillic) az-Cyrl Cyrl
Belarusian be Cyrl
Bulgarian bg Cyrl
Bosnian bs Latn
Catalan ca Latn
Cebuano ceb Latn
Czech cs Latn
Welsh cy Latn
Danish da Latn
German de Latn
Greek el Grek
English en Latn
Esperanto eo Latn
Spanish es Latn
Estonian et Latn
Basque eu Latn
Persian fa Arab
Finnish fi Latn
Filipino fil Latn
French fr Latn
Irish ga Latn
Galician gl Latn
Hindi hi Deva
Croatian hr Latn
Haitian Creole ht Latn
Hungarian hu Latn
Indonesian id Latn
Icelandic is Latn
Italian it Latn
Hebrew iw Hebr
Japanese ja Jpan
Javanese jv Latn
Kazakh kk Cyrl
Korean ko Kore
Kyrgyz ky Cyrl
Latin la Latn
Lithuanian lt Latn
Latvian lv Latn
Macedonian mk Cyrl
Mongolian mn Cyrl
Marathi mr Deva
Malay ms Latn
Maltese mt Latn
Nepali ne Deva
Dutch nl Latn
Norwegian no Latn
Polish pl Latn
Pashto ps Arab
Portuguese (Portugal & Brazil) pt Latn
Romanian ro Latn
Russian ru Cyrl
Russian (Petrine Orthography) ru-PETR1708 Cyrl
Sanskrit sa Deva
Slovak sk Latn
Slovenian sl Latn
Albanian sq Latn
Serbian sr Cyrl
Swedish sv Latn
Swahili sw Latn
Tagalog tl Latn
Turkish tr Latn
Ukrainian uk Cyrl
Urdu ur Arab
Uzbek uz Latn
Uzbek (Cyrillic) uz-Cyrl Cyrl
Vietnamese vi Latn
Yiddish yi Hebr
Chinese simplified zh-Hans Hani
Chinese traditional zh-Hant Hani
Zulu zu Latn
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-foundation-model-v1.0-2023-08-22 Stable

None

None

 Production-ready candidate specialized for document use cases powered by specialized vision models and foundation models.
pretrained-foundation-model-v1.1-2024-03-12 Release Candidate

None

None

 Release candidate powered by Gemini 1.0 Pro LLM and newly developed technologies, including specialized language and vision models. Also includes advanced OCR features such as checkbox detection.
pretrained-foundation-model-v1.2-2024-05-10 Stable

None

None

 Production-ready candidate powered by Gemini 1.5 Pro LLM and newly developed technologies, including specialized language and vision models. Also includes advanced OCR features such as checkbox detection. Recommended for users who want to use the largest supported token limits or experiment with newer models.
pretrained-foundation-model-v1.3-2024-08-31 Stable

None

None

 Production-ready candidate powered by the Gemini 1.5 Flash LLM. Also includes advanced OCR features such as checkbox detection. Recommended for those who want the lowest latency.

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 200
Normalized data types

You can find more information in the Enrichment & normalization, and Create dataset pages.

Full list of normalized data types
  • dateTime as STRING
  • currency as STRING
  • money as google.type.Money
  • number as FLOAT or INTEGER
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • eu
  • europe-west2
  • europe-west3
  • northamerica-northeast1
  • us
More information Custom Extractor

Form Parser

Description

Extract general key-value pairs (entity and checkbox), tables, and generic entities from documents in addition to OCR text.

This processor applies advanced machine learning technologies to extract key-value pairs, checkboxes, and tables from documents more than 200 languages. This processor also leverages deep learning models to extract 11 generic entities that are common in various document types.
Category Extract
Functions OCR, Form Parsing, Entity Extraction
Release stage General availability
Access status Public
Type in API FORM_PARSER_PROCESSOR
Supported languages
Full list of languages
Language Name BCP 47 Tag Script Handwriting supported
Afrikaans af Latn
Albanian sq Latn
Arabic ar Arab
Belarusian be Cyrl
Catalan ca Latn
Chinese zh Hani
Croatian hr Latn
Czech cs Latn
Danish da Latn
Dutch nl Latn
English en Latn
Estonian et Latn
Filipino fil Latn
Finnish fi Latn
French fr Latn
German de Latn
Hebrew iw Hebr
Hindi hi Deva
Hungarian hu Latn
Icelandic is Latn
Indonesian id Latn
Italian it Latn
Japanese ja Jpan
Korean ko Kore
Latvian lv Latn
Lithuanian lt Latn
Macedonian mk Cyrl
Malay ms Latn
Marathi mr Deva
Nepali ne Deva
Norwegian no Latn
Persian fa Arab
Polish pl Latn
Portuguese (Portugal & Brazil) pt Latn
Romanian ro Latn
Russian ru Cyrl
Serbian sr Cyrl
Slovak sk Latn
Slovenian sl Latn
Spanish es Latn
Swedish sv Latn
Tagalog tl Latn
Turkish tr Latn
Ukrainian uk Cyrl
Vietnamese vi Latn
Yiddish yi Hebr
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-form-parser-v1.0-2020-09-23 Stable

None

None

 Legacy version. For best quality and full feature set, use the Form Parser v2.0.
pretrained-form-parser-v2.0-2022-11-10 Stable
Show fields
  • email
  • phone
  • url
  • date_time
  • address
  • person
  • organization
  • quantity
  • price
  • id
  • page_number

None

 Recommended version. Supports generic entities and includes upgraded table, KVP, and checkbox model, as well as more than 200 languages.
pretrained-form-parser-v2.1-2023-06-26 Release Candidate

None

None

 Public Preview version. Same model as v2.0 with native text extraction from digital PDF files enabled.

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 100
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • eu
  • europe-west2
  • europe-west3
  • northamerica-northeast1
  • us
More information Form Parser

Layout Parser

Description

Extracts document content elements (text, tables, and lists) and creates context-aware chunks.

Layout Parser extracts document content elements like text, tables, and lists, and creates context-aware chunks that facilitate information retrieval in generative AI and discovery applications.
Category Extract
Functions Layout Parsing, Document Chunking
Release stage General availability
Access status Public
Type in API LAYOUT_PARSER_PROCESSOR
Notes
  • This parser supports PDF, HTML and DOCX files.
Supported languages
Full list of languages
Language Name BCP 47 Tag Script Handwriting supported
Afrikaans af Latn
Albanian sq Latn
Arabic ar Arab
Armenian hy Armn
Belarusian be Cyrl
Bangla bn Beng
Bengali bn Beng
Bulgarian bg Cyrl
Catalan ca Latn
Chinese zh Hani
Croatian hr Latn
Czech cs Latn
Danish da Latn
Dutch nl Latn
English en Latn
Estonian et Latn
Filipino fil Latn
Finnish fi Latn
French fr Latn
German de Latn
Greek el Grek
Gujarati gu Gujr
Hebrew iw Hebr
Hindi hi Deva
Hungarian hu Latn
Icelandic is Latn
Indonesian id Latn
Italian it Latn
Japanese ja Jpan
Kannada kn Knda
Khmer km Khmr
Korean ko Kore
Lao lo Laoo
Latvian lv Latn
Lithuanian lt Latn
Macedonian mk Cyrl
Malay ms Latn
Malayalam ml Mlym
Marathi mr Deva
Nepali ne Deva
Norwegian no Latn
Persian fa Arab
Polish pl Latn
Portuguese (Portugal & Brazil) pt Latn
Punjabi pa Guru
Romanian ro Latn
Russian ru Cyrl
Serbian sr Cyrl
Slovak sk Latn
Slovenian sl Latn
Spanish es Latn
Swedish sv Latn
Tagalog tl Latn
Tamil ta Taml
Telugu te Telu
Thai th Thai
Turkish tr Latn
Ukrainian uk Cyrl
Vietnamese vi Latn
Yiddish yi Hebr
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-layout-parser-v1.0-2024-06-03 Stable

None

None

 Recommended version.

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 500
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • eu
  • us
More information Layout Parser

Explore pretrained processors

Bank Statement Parser

Description

Extract from bank statements including name, account, transactions, etc.
Category Pretrained
Functions OCR, Entity Extraction
Release stage General availability
Access status Public
Type in API BANK_STATEMENT_PROCESSOR
Notes
  • If a page of a multi-page input file is the correct document type and one of the supported versions, the processor performs entity extraction on the first supported document. If the processor doesn't find any applicable documents in the input file, the processor returns an error message.
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-bankstatement-v1.0-2021-08-08 Stable

None

None
pretrained-bankstatement-v1.1-2021-08-13 Stable

None

None
pretrained-bankstatement-v2.0-2021-12-10 Stable

None

None
pretrained-bankstatement-v3.0-2022-05-16 Stable

None

None

 This version assumes that the input file contains a single bank statement. Unlike the default version, this version does not check the input file for bank statements and will not return an error if no bank statements are found.
pretrained-bankstatement-v4.0-2023-07-31 Release Candidate

None

None
pretrained-bankstatement-v5.0-2023-12-06 Release Candidate

None

None

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 30
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • account_number
  • account_type
  • bank_address
  • bank_name
  • client_address
  • client_name
  • ending_balance
  • starting_balance
  • statement_date
  • statement_end_date
  • statement_start_date
  • table_item
    • table_item/transaction_deposit
    • table_item/transaction_deposit_date
    • table_item/transaction_deposit_description
    • table_item/transaction_withdrawal
    • table_item/transaction_withdrawal_date
    • table_item/transaction_withdrawal_description
Enriched fields

You can find more information in the Enrichment & normalization page.

Full list of enriched fields
  • bank_address
  • bank_name
Normalized fields

You can find more information in the Enrichment & normalization page.

Full list of normalized fields
  • ending_balance
  • starting_balance
  • statement_date
  • statement_end_date
  • statement_start_date
  • table_item/transaction_deposit
  • table_item/transaction_deposit_date
  • table_item/transaction_withdrawal
  • table_item/transaction_withdrawal_date
Uptraining
Human-in-the-Loop
Labeling Instructions Open in new window.
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • eu
  • us

W2 Parser

Description

Extract from Form W2, including employee, employer, wages, etc.
Category Pretrained
Functions OCR, Entity Extraction
Release stage General availability
Access status Public
Type in API FORM_W2_PROCESSOR
Notes
  • If a page of a multi-page input file is the correct document type and one of the supported versions, the processor performs entity extraction on the first supported document. If the processor doesn't find any applicable documents in the input file, the processor returns an error message.
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Supported form/versions
  • 2020 (standard and customized versions)
  • 2019 (standard and customized versions)
  • 2018 (standard and customized versions)
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-w2-v1.0-2020-10-01 Stable

None

None
pretrained-w2-v1.1-2022-01-27 Stable

None

None
pretrained-w2-v1.2-2022-01-28 Stable
Show fields
  • AllocatedTips
  • ControlNumber
  • DependentCareBenefits
  • EIN
  • EmployeeAddress
  • EmployeeName
  • EmployerNameAndAddress
  • EmployerStateIdNumber_Line1
  • FederalIncomeTaxWithheld
  • FormYear
  • LocalIncomeTax_Line1
  • LocalityName_Line1
  • LocalWagesTipsEtc_Line1
  • MedicareTaxWithheld
  • MedicareWagesAndTips
  • NonqualifiedPlans
  • SocialSecurityTaxWithheld
  • SocialSecurityTips
  • SocialSecurityWages
  • SSN
  • State_Line1
  • StateIncomeTax_Line1
  • StateWagesTipsEtc_Line1
  • WagesTipsOtherCompensation

None

Quality improvements and supporting new fields; does not include splitter.
pretrained-w2-v2.0-2022-03-30 Release Candidate
Show fields
  • AllocatedTips
  • ControlNumber
  • DependentCareBenefits
  • EIN
  • EmployeeAddress_AdditionalStreetAddressOrPostalBox
  • EmployeeAddress_City
  • EmployeeAddress_State
  • EmployeeAddress_StreetAddressOrPostalBox
  • EmployeeAddress_Zip
  • EmployeeName_FirstName
  • EmployeeName_LastName
  • EmployeeName_MiddleNameOrInitial
  • EmployerAddress_AdditionalStreetAddressOrPostalBox
  • EmployerAddress_City
  • EmployerAddress_State
  • EmployerAddress_StreetAddressOrPostalBox
  • EmployerAddress_Zip
  • EmployerName
  • EmployerStateIdNumber_Line1
  • FederalIncomeTaxWithheld
  • FormYear
  • LocalIncomeTax_Line1
  • LocalWagesTipsEtc_Line1
  • LocalityName_Line1
  • MedicareTaxWithheld
  • MedicareWagesAndTips
  • NonqualifiedPlans
  • SSN
  • SocialSecurityTaxWithheld
  • SocialSecurityTips
  • SocialSecurityWages
  • StateIncomeTax_Line1
  • StateWagesTipsEtc_Line1
  • State_Line1
  • WagesTipsOtherCompensation
  • a_Code
  • a_Value
  • b_Code
  • b_Value
  • c_Code
  • c_Value
  • d_Code
  • d_Value

None

Quality improvements and support for box 12 fields and fine-grained predictions of EmployeeName, EmployeeAddress, and EmployerNameAndAddress, all of which are no longer part of the output and are replaced with additional fields.
pretrained-w2-v2.1-2022-06-08 Stable
Show fields
  • AllocatedTips
  • ControlNumber
  • DependentCareBenefits
  • EIN
  • EmployeeAddress_AdditionalStreetAddressOrPostalBox
  • EmployeeAddress_City
  • EmployeeAddress_State
  • EmployeeAddress_StreetAddressOrPostalBox
  • EmployeeAddress_Zip
  • EmployeeName_FirstName
  • EmployeeName_LastName
  • EmployeeName_MiddleNameOrInitial
  • EmployeeName_Suffix
  • EmployerAddress_AdditionalStreetAddressOrPostalBox
  • EmployerAddress_City
  • EmployerAddress_State
  • EmployerAddress_StreetAddressOrPostalBox
  • EmployerAddress_Zip
  • EmployerName
  • EmployerStateIdNumber_Line1
  • FederalIncomeTaxWithheld
  • FormYear
  • LocalIncomeTax_Line1
  • LocalWagesTipsEtc_Line1
  • LocalityName_Line1
  • MedicareTaxWithheld
  • MedicareWagesAndTips
  • NonqualifiedPlans
  • SSN
  • SocialSecurityTaxWithheld
  • SocialSecurityTips
  • SocialSecurityWages
  • StateIncomeTax_Line1
  • StateWagesTipsEtc_Line1
  • State_Line1
  • WagesTipsOtherCompensation
  • a_Code
  • a_Value
  • b_Code
  • b_Value
  • c_Code
  • c_Value
  • d_Code
  • d_Value

None

Similar to version pretrained-w2-v2.0-2022-03-30 with further quality enhancements and introducing one more entity EmployeeName_Suffix.

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 15
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • ControlNumber
  • EIN
  • EmployeeAddress
  • EmployeeName
  • EmployerNameAndAddress
  • FederalIncomeTaxWithheld
  • MedicareTaxWithheld
  • MedicareWagesAndTips
  • SSN
  • SocialSecurityTaxWithheld
  • SocialSecurityWages
  • WagesTipsOtherCompensation
Enriched fields

You can find more information in the Enrichment & normalization page.

Full list of enriched fields
  • EmployerNameAndAddress
  • EIN
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • eu
  • us

US Passport Parser

Description

Extract fields such as names, document ID, date of birth, etc.
Category Pretrained
Functions OCR, Entity Extraction
Release stage General availability
Access status Public
Type in API US_PASSPORT_PROCESSOR
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-us-passport-v1.0-2021-06-14 Stable

None

None

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 2
Maximum pages (batch/offline/asynchronous requests): 2
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • Family Name
  • Given Names
  • Document Id
  • Expiration Date
  • Date Of Birth
  • Issue Date
  • MRZ Code
  • Portrait
Normalized fields

You can find more information in the Enrichment & normalization page.

Full list of normalized fields
  • Date Of Birth
  • Expiration Date
  • Issue Date
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • eu
  • us

Utility Parser

Description

Extract text and values from utility bills such as supplier name and previous paid amount.
Category Pretrained
Functions OCR, Entity Extraction
Release stage General availability
Access status Limited [*]
Type in API UTILITY_PROCESSOR
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-utility-v1.1-2021-04-09 Stable

None

None
pretrained-utility-v1.2-2022-12-15 Release Candidate

None

None

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 10
Maximum pages (batch/offline/asynchronous requests): 200
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • adjusted_amount
  • amount_due
  • balance_transfer_amount
  • carrier
  • currency
  • currency_exchange_rate
  • delivery_date
  • deposit_credited_amount
  • due_date
  • freight_amount
  • invoice_date
  • invoice_id
  • late_fee_amount
  • line_item
    • line_item/amount
    • line_item/description
    • line_item/frequency
    • line_item/product_code
    • line_item/purchase_order
    • line_item/quantity
    • line_item/service_address
    • line_item/service_end_date
    • line_item/service_id_1
    • line_item/service_id_2
    • line_item/service_start_date
    • line_item/supplier_account_number
    • line_item/tax_amount
    • line_item/unit_number
    • line_item/unit_of_measure
    • line_item/unit_price
    • line_item/usage
  • net_amount
  • payment_terms
  • prior_amount_due
  • prior_paid_amount
  • purchase_order
  • receiver_address
  • receiver_email
  • receiver_name
  • receiver_phone
  • receiver_tax_id
  • receiver_website
  • reclaimed_water
  • remit_to_address
  • remit_to_name
  • service
    • service/service_end_date
    • service/service_id
    • service/service_start_date
    • service/unit_of_measure
    • service/usage
  • service_address
  • service_end_date
  • service_id
  • service_start_date
  • ship_from_address
  • ship_from_name
  • ship_to_address
  • ship_to_name
  • supplier_account_number
  • supplier_address
  • supplier_email
  • supplier_iban
  • supplier_name
  • supplier_payment_ref
  • supplier_phone
  • supplier_registration
  • supplier_tax_id
  • supplier_website
  • tampering
  • total_amount
  • total_tax_amount
  • usage
  • vat
    • vat/amount
    • vat/category_code
    • vat/tax_amount
    • vat/tax_rate
Normalized fields

You can find more information in the Enrichment & normalization page.

Full list of normalized fields
  • adjusted_amount
  • amount_due
  • balance_transfer_amount
  • currency
  • currency_exchange_rate
  • delivery_date
  • due_date
  • invoice_date
  • late_fee_amount
  • line_item/amount
  • line_item/quantity
  • line_item/tax_amount
  • line_item/unit_price
  • net_amount
  • prior_amount_due
  • prior_paid_amount
  • total_amount
  • total_tax_amount
Uptraining
Human-in-the-Loop
Labeling Instructions Open in new window.
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • eu
  • us

Identity Document Proofing Parser

Description

Predict the validity of ID documents using multiple signals.

Identity Document Proofing Processor is designed to help predict the validity of ID documents with four different signals.

The processor currently returns information from the following signals:

  • fraud_signals_is_identity_document detection: Predicts whether an image contains a recognized identity document.
  • fraud_signals_suspicious_words detection: Predicts whether words are present that aren't typical on IDs.
  • fraud_signals_image_manipulation detection: Predicts whether the image was altered or tampered with an image editing tool.
  • fraud_signals_online_duplicate detection: Predicts whether the image can be found online (US only).
Category Pretrained
Functions OCR, Quality Analysis
Release stage Preview
Access status Public
Type in API ID_PROOFING_PROCESSOR
Notes
  • The Online Duplicate Detection feature is currently processed in US data centers. Regional and multi-regional support is unavailable for this feature outside of the US.
  • This processor is supported by algorithms that are updated more frequently than new processor versions are released. For this reason, the processor might return different outputs over time even when using the same processor version. For example, the Online Duplicate Detection system monitors images present on the web. The system's behavior can then change more quickly than can be tracked in processor versions.
  • Refer to notes on Responsible AI[†] and Human review.[‡]
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Supported form/versions
  • Support for US passports, passcards and driver's licenses.
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-id-proofing-v1.0-2022-10-03 Stable

None

None
pretrained-id-proofing-v1.1-2023-05-18 Release Candidate
Show fields
  • fraud_signals_photocopy_detection

None

Additional photocopy detection signal
pretrained-id-proofing-v1.2-2023-10-04 Release Candidate
Show fields
  • fraud_signals_photocopy_detection

None

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 2
Maximum pages (batch/offline/asynchronous requests): 2
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • fraud_signals_is_identity_document
  • fraud_signals_suspicious_words
  • evidence_suspicious_word
  • evidence_inconclusive_suspicious_word
  • fraud_signals_image_manipulation
  • fraud_signals_online_duplicate (US only)
  • fraud_signals_photocopy_detection
  • evidence_hostname (US only)
  • evidence_thumbnail_url (US only)
Normalized fields

You can find more information in the Enrichment & normalization page.

Full list of normalized fields
  • fraud_signals_image_manipulation
  • fraud_signals_online_duplicate (US only)
  • fraud_signals_is_identity_document
  • fraud_signals_suspicious_words
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • eu
  • us

Pay Slip Parser

Description

Extract from pay slips, including name, business, amounts, etc.
Category Pretrained
Functions OCR, Entity Extraction
Release stage General availability
Access status Public
Type in API PAYSTUB_PROCESSOR
Notes
  • If the multi-page input document contains more than one valid pay slips, the processor extracts entities from only the first valid pay slip. If no pay slips are found in the input file, the processor returns an error message.
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-paystub-v1.0-2021-03-19 Stable

None

None
pretrained-paystub-v1.1-2021-08-13 Stable
Show fields
  • net_pay
  • net_pay_ytd
  • employee_account_number

None

 Quality improvement and new fields support;
pretrained-paystub-v1.2-2021-12-10 Stable

None

None
pretrained-paystub-v2.0-2022-05-17 Release Candidate
Show fields
  • deduction_item
  • deduction_item/deduction_type
  • deduction_item/deduction_this_period
  • deduction_item/deduction_ytd
  • direct_deposit_item
  • direct_deposit_item/direct_deposit
  • direct_deposit_item/employee_account_number
  • earning_item
  • earning_item/earning_type
  • earning_item/earning_rate
  • earning_item/earning_hours
  • earning_item/earning_this_period
  • earning_item/earning_ytd
  • page_number
  • tax_item
  • tax_item/tax_type
  • tax_item/tax_this_period
  • tax_item/tax_ytd
  • federal_additional_tax
  • federal_allowance
  • federal_marital_status
  • state_additional_tax
  • state_allowance
  • state_marital_status

None

This version assumes that the input file contains a single pay slip. Unlike the default version, this version does not check the input file for pay slips and will not return an error if no pay slips are found.

Quality improvement, new fields support and new schema. Bonus, Commissions, Holiday, Overtime, Regular Pay and Vacation are now part of earning_item/earning_this_period, and their year-to-date versions are in earning_item/earning_ytd. Direct Deposit and Employee Account Number are now nested under direct_deposit_item.

Async page limit is 10.
pretrained-paystub-v2.0-2022-07-22 Stable

None

None

Quality improvement and uptraining enhancements.
pretrained-paystub-v3.0-2023-12-06 Release Candidate

None

None

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 50
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • bonus
  • bonus_ytd
  • commissions
  • commissions_ytd
  • direct_deposit
  • employee_account_number (Added in "pretrained-paystub-v1.1-2021-08-13")
  • employee_address
  • employee_name
  • employer_address
  • employer_name
  • end_date
  • gross_earnings
  • gross_earnings_ytd
  • holiday
  • holiday_ytd
  • net_pay (Added in "pretrained-paystub-v1.1-2021-08-13")
  • net_pay_ytd (Added in "pretrained-paystub-v1.1-2021-08-13")
  • overtime
  • overtime_ytd
  • pay_date
  • regular_pay
  • regular_pay_ytd
  • ssn
  • start_date
  • vacation
  • vacation_ytd
Enriched fields

You can find more information in the Enrichment & normalization page.

Full list of enriched fields
  • employer_address
  • employer_name
Normalized fields

You can find more information in the Enrichment & normalization page.

Full list of normalized fields
  • bonus
  • bonus_ytd
  • commissions
  • commissions_ytd
  • direct_deposit
  • end_date
  • gross_earnings
  • gross_earnings_ytd
  • holiday
  • holiday_ytd
  • net_pay
  • net_pay_ytd
  • overtime
  • overtime_ytd
  • pay_date
  • regular_pay
  • regular_pay_ytd
  • start_date
  • vacation
  • vacation_ytd
Uptraining
Human-in-the-Loop
Labeling Instructions Open in new window.
Supported regions
  • eu
  • us

US Driver License Parser

Description

Extract fields such as names, document ID, date of birth, etc.
Category Pretrained
Functions OCR, Entity Extraction
Release stage General availability
Access status Public
Type in API US_DRIVER_LICENSE_PROCESSOR
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Supported form/versions
  • Supports all 50 States and D.C.
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-us-driver-license-v1.0-2021-06-14 Stable

None

None

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 2
Maximum pages (batch/offline/asynchronous requests): 2
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • Family Name
  • Given Names
  • Document Id
  • Expiration Date
  • Date Of Birth
  • Issue Date
  • Address
  • Portrait
Normalized fields

You can find more information in the Enrichment & normalization page.

Full list of normalized fields
  • Date Of Birth
  • Expiration Date
  • Issue Date
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • eu
  • us

Expense Parser

Description

Extract text and values from expense documents such as expense date, supplier name, total amount, and currency.
Category Pretrained
Functions OCR, Entity Extraction
Release stage General availability
Access status Public
Type in API EXPENSE_PROCESSOR
Supported languages
Full list of languages
Language Name BCP 47 Tag Script Handwriting supported
German de Latn
English en Latn
Spanish es Latn
French fr Latn
Japanese ja Jpan
Dutch nl Latn
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-expense-v1.1-2021-04-09 Stable

None

None

 Launched in April 2021. Deprecation is planned soon.
pretrained-expense-v1.2-2022-02-18 Stable

None

None
pretrained-expense-v1.3-2022-07-15 Stable
Show fields
  • credit_card_last_four_digits
  • line_item/quantity
  • payment_type
  • ja: Japanese
 Support for hotel and car rental folios.
pretrained-expense-v1.3.2-2024-09-11 Release Candidate
Show fields
  • credit_card_last_four_digits
  • line_item/quantity
  • payment_type
  • ja: Japanese
 An upgrade to v1.3 with an enhanced underlying vision model.
pretrained-expense-v1.4-2022-11-18 Release Candidate
Show fields
  • traveler_name
  • reservation_id
  • line_item/transaction_date
  • ja: Japanese
  • it: Italian
  • pt: Portuguese (Portugal & Brazil)
 Performance improvements and support for uptraining. Maximum pages (online/synchronous requests) limit has been increased to 15.
pretrained-expense-v1.4.2-2024-09-12 Release Candidate
Show fields
  • traveler_name
  • reservation_id
  • line_item/transaction_date
  • ja: Japanese
  • it: Italian
  • pt: Portuguese (Portugal & Brazil)
 An upgrade to v1.4 with an enhanced underlying vision model.

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 10
Maximum pages (batch/offline/asynchronous requests): 10
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • credit_card_last_four_digits
  • currency
  • end_date
  • net_amount
  • payment_type
  • purchase_time
  • receipt_date
  • start_date
  • supplier_address
  • supplier_city
  • supplier_name
  • tip_amount
  • total_amount
  • total_tax_amount
  • line_item
    • line_item/amount
    • line_item/description
    • line_item/product_code
Enriched fields

You can find more information in the Enrichment & normalization page.

Full list of enriched fields
  • supplier_address
  • supplier_name
  • supplier_phone
Normalized fields

You can find more information in the Enrichment & normalization page.

Full list of normalized fields
  • currency
  • total_amount
  • total_tax_amount
  • net_amount
  • receipt_date
  • purchase_time
  • start_date
  • end_date
  • line_item/amount
  • line_item/payment_date
  • line_item/payment_amount
Uptraining
Human-in-the-Loop
Labeling Instructions Open in new window.
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • asia-southeast1
  • australia-southeast1
  • eu
  • northamerica-northeast1
  • us

Invoice Parser

Description

Extract text and values from invoices such as invoice number, supplier name, invoice amount, tax amount, invoice date, due date.

The invoice Parser extracts both header and line item fields, such as invoice number, supplier name, invoice amount, tax amount, invoice date, due date, and line item amounts.
Category Pretrained
Functions OCR, Entity Extraction
Release stage General availability
Access status Public
Type in API INVOICE_PROCESSOR
Supported languages
Full list of languages
Language Name BCP 47 Tag Script Handwriting supported
German de Latn
English en Latn
Spanish es Latn
Estonian et Latn
French fr Latn
Italian it Latn
Latvian lv Latn
Lithuanian lt Latn
Dutch nl Latn
Portuguese (Portugal & Brazil) pt Latn
Romanian ro Latn
Swedish sv Latn
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-invoice-v1.1-2021-04-09 Stable

None

None
pretrained-invoice-v1.2-2022-02-18 Stable

None

None

 Deprecation is planned soon.
pretrained-invoice-v1.3-2022-07-15 Stable

None
  • it: Italian
  • pt: Portuguese (Portugal & Brazil)
  • ro: Romanian
  • sv: Swedish
  • et: Estonian
  • lv: Latvian
  • lt: Lithuanian
 Uptrainable processor version. Maximum pages (online/synchronous requests) has been increased to 15.
pretrained-invoice-v1.4-2022-10-21 Release Candidate

None

None

 Uptrainable processor version. Maximum pages (online/synchronous requests) has been increased to 15.
pretrained-invoice-v1.5-2023-09-15 Release Candidate

None

None
pretrained-invoice-v2.0-2023-12-06 Release Candidate

None

None

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 200
Fields detected in the earliest version

You can also find this information in the Field detected page.

Full list of fields
  • amount_paid_since_last_invoice
  • carrier
  • currency
  • currency_exchange_rate
  • delivery_date
  • due_date
  • freight_amount
  • invoice_date
  • invoice_id
  • line_item
    • line_item/amount
    • line_item/description
    • line_item/product_code
    • line_item/purchase_order
    • line_item/quantity
    • line_item/unit
    • line_item/unit_price
  • net_amount
  • payment_terms
  • purchase_order
  • receiver_address
  • receiver_email
  • receiver_name
  • receiver_phone
  • receiver_tax_id
  • receiver_website
  • remit_to_address
  • remit_to_name
  • ship_from_address
  • ship_from_name
  • ship_to_address
  • ship_to_name
  • supplier_address
  • supplier_email
  • supplier_iban
  • supplier_name
  • supplier_payment_ref
  • supplier_phone
  • supplier_registration
  • supplier_tax_id
  • supplier_website
  • total_amount
  • total_tax_amount
  • vat
    • vat/amount
    • vat/category_code
    • vat/tax_amount
    • vat/tax_rate
Enriched fields

You can find more information in the Enrichment & normalization page.

Full list of enriched fields
  • supplier_address
  • supplier_name
  • supplier_phone
Normalized fields

You can find more information in the Enrichment & normalization page.

Full list of normalized fields
  • amount_paid_since_last_invoice
  • currency
  • currency_exchange_rate
  • delivery_date
  • due_date
  • freight_amount
  • invoice_date
  • net_amount
  • total_amount
  • total_tax_amount
  • line_item/amount
  • line_item/quantity
  • line_item/unit_price
  • vat/amount
  • vat/tax_amount
  • vat/tax_rate
Uptraining
Human-in-the-Loop
Labeling Instructions Open in new window.
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • eu
  • northamerica-northeast1
  • us

Classify documents

Custom Classifier

Description

Train a model to classify a document type from a set of classes.
Category Classify
Functions OCR, Classification
Release stage General availability
Access status Public
Type in API CUSTOM_CLASSIFICATION_PROCESSOR
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 200
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • eu
  • europe-west2
  • europe-west3
  • northamerica-northeast1
  • us
More information Create a custom classification processor

Custom Splitter

Description

Train a model to split a file containing multiple documents into individual, classified documents.
Category Classify
Functions OCR, Classification, Splitting
Release stage General availability
Access status Public
Type in API CUSTOM_SPLITTING_PROCESSOR
Notes
  • i18n can be supported through custom training options only.
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 1000
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • eu
  • europe-west2
  • europe-west3
  • northamerica-northeast1
  • us
More information Create a custom splitter processor

Summarize documents

Summarizer

Description

Get abstract and bullet point summaries for short and long documents.
Category pretrained
Functions Summarize
Release stage Preview
Access status Public
Type in API SUMMARY_PROCESSOR
Supported languages
Language Name BCP 47 Tag Script Handwriting supported
English en Latn
Processor versions
Version ID Release Channel Additional fields detected Additional languages supported Description
pretrained-foundation-model-v1.0-2023-08-22 Stable

None

None

 Google foundation model

For more information, see Managing processor versions.

Quotas and limits
Maximum pages (online/synchronous requests): 15
Maximum pages (batch/offline/asynchronous requests): 250
Uptraining
Human-in-the-Loop
Sample Input File Open in new window.
Sample Output Open in new window.
Supported regions
  • us
More information Custom summarizer

Footnotes

[*] This processor is only available to limited-access customers.

To request API access, fill out and submit the Document AI limited access customer request form. The form requests information about you, your company, and your use case. Note that a Google Cloud Project ID is required for access. To create a new Google Cloud project, or identify your existing project's Project ID see the following instructions.

After you submit the form, the Document AI team will review your request to ensure you meet the criteria for access. If approved, you will receive an email with instructions on how to access and use this feature.

[†] Identity Document Proofing works to extract and evaluate information from ID documents that contributes to identifying whether the input image represents an authentic ID.

At Google Cloud, we prioritize helping customers safely develop and implement AI solutions, and Identity Proofing has been developed in accordance with Google's AI Principles.

Based on Google's AI Principles and current product design, we strongly recommend using caution and carefully evaluating the potential benefits and risks of using Identity Document Proofing for the following:

  • Decision-making without a human in the loop for predictions that can impact human rights.
  • In sensitive domains including but not limited to employment, access to public services, healthcare, and safety-critical contexts.

[‡] Always use Identity Proofing as part of your broader identity-detection process and workflow. It is important that you have a human reviewer in your workflow to verify whether the predicted signals are accurate. The Identity Proofing processor isn't meant to replace human review of IDs in a workflow, but rather to assist human reviewers in validating ID documents. The Identity Proofing processor shouldn't be used as an automated decision tool to determine whether an ID is valid. With human review, customers can achieve higher document processing accuracy and help businesses evaluate predictions using purpose-built tools to enable those reviews.

Make sure that you review regulations in the region where you are implementing this technology, and research existing industry guidance to learn about policy guidelines and common fairness issues. Read about fairness in machine learning, including ways to mitigate bias in training datasets, evaluate your custom models for disparities in performance, and other considerations as you use your custom model.

We encourage customers to keep fairness, interpretability, and privacy and security best practices in mind when implementing Identity Proofing. To learn more about how to implement responsible AI, read Google's recommendations for Responsible AI practices.

Refer to the blog post Automate identity document processing with Document AI] for more information on use cases and a sample application code repository.

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Supported files