Google officially supports its generative extractor in English only. Documind reads many languages, three AI models must agree on every value, and it completes the work in your systems.
A value must be approved by three different AI models that agree, not by one confidence score.
Your documents come in many languages and formats, including handwriting.
You need a maintained review screen, and documents must stay on your own servers.
Choose Google Document AI if
Your documents are mostly in English, and you want generative extraction with few training samples.
You run on Google Cloud and want results in Cloud Storage and BigQuery.
Processing in the eu multi-region meets your data policy.
In short
→Google's generative extractor runs on Google's own models and officially supports English only. Documind reads many languages, and three different AI models must agree on each value.
→Both return each value with its page and the exact spot on the page.
→Google's Human-in-the-Loop review has been on its deprecated-features list since 16 January 2024. Documind includes its own review screen for people.
→Document AI runs in Google Cloud. Documind runs on your own servers, including air-gapped.
→Custom extractor: $30 per 1,000 pages, plus $0.05 per hour per deployed version (USD list price, 12 October 2026).
At a glance
Documind and Google Document AI compared by capability. Google Document AI facts come from its public pages, checked on 12 October 2026. Each Google Document AI cell links to its source.
Capability
Documind
Google Document AI
Overview
Positioning
Enterprise content workflow automation. Three AI models from different families read every value and must agree before it is approved. Tax ID, IBAN and HS code checks are built in.
"Document AI is a document processing and understanding platform" that turns unstructured document data into structured fields (Google Cloud docs).
Customs and trade documents The custom extractor can be trained for these documents.
Yes
Commercial invoices, packing lists, EUR.1, A.TR, certificates of origin, B/L, AWB, CMR and customs declarations, checked against each other.
Not published
Pretrained parsers cover invoices, expenses, utility bills, bank statements, pay slips, W-2s, US IDs and procurement and lending splitters. No pretrained parser for bills of lading, EUR.1, A.TR or customs declarations is listed.
Three models from different families read the same content. A value is approved only when all three agree and no rule check fails.
Not published
The generative custom extractor runs on Google's own LLM versions, selected by processor version (several in Preview). A rule that different model families must agree is not described.
Four separate checks per value: can it be read, was it read right, do the other model families agree, do the rules pass. Never blended into one number.
A confidence score from 0 to 1 per extracted entity. You can use low scores to send entities to manual review.
When values disagree, Documind asks a person by email. The review screen shows the value on the page, the other possible values and the reason.
Partial
Human-in-the-Loop is on Google's deprecated-features list, deprecated 16 January 2024. Deprecated features stay available for the period in the Terms of Service.
Reads many languages, including accented letters, local date formats and decimal commas.
Partial
Many languages, including Turkish, are listed for Enterprise OCR, Form Parser, Layout Parser and Custom Extractor. Generative extraction: "Only the English language is officially supported."
Rules written as code check every value. You can add your own rules and reference data, such as a price list.
Partial
Custom extractor "document validation and correction": rules in Common Expression Language (CEL), for example line items that sum to the total. Preview since 4 June 2026; the docs page says private preview with an allowlist.
Free Starter plan with 1,000 credits a week. Enterprise pricing on request. Details on the pricing page.
USD list prices: Enterprise OCR $1.50 per 1,000 pages after 1,000 free; custom extractor $30 per 1,000 pages plus $0.05 per hour per deployed processor version.
Google's languages page lists many languages for OCR and the custom extractor. For generative extraction, Google officially supports only English. Documind reads many languages, including handwriting and accented letters. Tax ID, IBAN and HS code checks are built in.
In Google Document AI's words
“Only the English language is officially supported.”
Google's generative custom extractor runs on Google's own LLM versions. It gives one confidence score per entity, from 0 to 1. A rule that different model families must agree is not described. In Documind, three AI models from different families read each value. A value is approved only when all three agree and no rule check fails.
Google lists Human-in-the-Loop as deprecated since 16 January 2024. Deprecated features stay available for the period in its Terms of Service. Documind includes its own review screen. A person gets each open value by email, with the page, the other possible values and the reason.
Enterprise Document OCR is $1.50 per 1,000 pages, or $0.60 above five million (USD list price). The first 1,000 pages are free, and its language list is long.
Custom extractor validation rules use the CEL language, for example line items that must sum to the total. Rules can also be drafted from plain-language prompts.
Google Document AI is a strong platform for teams on Google Cloud. Its OCR is low cost and lists many languages. Its generative extractor needs few samples for English documents. It shows the page and position for each value. It offers an EU multi-region and a wide compliance scope. For English invoices, contracts or forms, Document AI is a good fit.
Your documents are mostly in English, and you want generative extraction with few training samples.
You run on Google Cloud and want results in Cloud Storage and BigQuery.
Processing in the eu multi-region meets your data policy.
When to choose Documind
Choose Documind when three different AI models must agree before a value is approved. Documind reads many languages, including handwriting. Tax ID, IBAN and HS code checks are built in, and a failed check blocks the value. Exceptions go to a person by email and to the built-in review screen, with the reason. Documind runs on your own servers, including air-gapped.
A value must be approved by three different AI models that agree, not by one confidence score.
Your documents come in many languages and formats, including handwriting.
You need a maintained review screen, and documents must stay on your own servers.
Document-type fit
Google's pretrained parsers focus on invoices, expenses, bank statements, pay slips and US identity documents. Bills of lading, packing lists, EUR.1, A.TR and customs declarations need a custom extractor. Its generative option is officially supported in English only. Documind reads the full customs packet, LC sets and e-invoices. It checks the documents against each other and checks local tax IDs and HS codes.
Free Starter plan with 1,000 credits a week. Enterprise pricing on request. See /pricing
Google Document AI
USD list prices on Google's Document AI pricing page, checked 12 October 2026: Enterprise Document OCR free for the first 1,000 pages, then $1.50 per 1,000 pages ($0.60 above five million). Custom extractor and Form Parser $30 per 1,000 pages ($20 above one million). Layout Parser $10 per 1,000 pages. Invoice parser $0.10 per document of up to 10 pages. Custom processor hosting $0.05 per hour per deployed version (Google's example: $438 per year). Savings plans can lower these rates. Source: Google Cloud: Document AI pricing, checked on 12 October 2026 (opens in new tab)
How to switch
Move from Google Document AI in three steps
You can run both systems side by side until the evaluation results satisfy you.
STEP 1
Connect your source
Point Documind at the same inbox, SFTP folder, S3 bucket or Google Drive folder. You can also send documents through the REST API.
STEP 2
Import your schema
Start from the fields of your custom extractor. The Workflow Generator drafts the schema, the prompt and the validation code for you to approve.
STEP 3
Run an evaluation set
The evaluation agent tests the workflow on documents you have already checked. You see the score before you go live.
Frequently asked questions
Does Google Document AI generative extraction support languages other than English?
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Google's languages page lists many languages for Enterprise OCR, Form Parser, Layout Parser and Custom Extractor. For generative extraction it states: "Only the English language is officially supported." Documind reads many languages, including handwriting and accented letters.
How does Documind decide a value is right?
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Three different AI models, from different model families, read each value. The value is approved only when all three agree and no rule check fails. Otherwise a person decides, and the screen shows the reason.
How much does Google Document AI cost?
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Google lists Enterprise OCR at $1.50 per 1,000 pages after the first 1,000 free. The custom extractor is $30 per 1,000 pages. Each deployed custom processor version adds $0.05 per hour. These are USD list prices, checked on 12 October 2026. Documind has a free Starter plan with 1,000 credits a week. Enterprise pricing is on request.
Is Google Document AI Human-in-the-Loop still available?
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Human-in-the-Loop is on Google's deprecated-features list, deprecated on 16 January 2024. Google says deprecated features stay available for the period in its Terms of Service. Google lists no shutdown date for this feature. Documind includes its own review screen and asks a person by email.
Can Google Document AI run on-premises?
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Document AI is a Google Cloud service. A self-hosted option is not described in its overview. Google lists us and eu multi-regions and seven single regions. Documind runs on your own servers, in any country, including air-gapped.
Can Google Document AI read EUR.1 or A.TR certificates?
+
Google lists no pretrained parser for these documents. You can train a custom extractor. Documind reads the full customs packet, including EUR.1 and A.TR, and checks the documents against each other.
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