Software advice
Best AI OCR and Document Extraction Software in 2026
AI OCR and document extraction software reads scans, PDFs and photos, turns the pixels into text, and then pulls out named fields such as invoice totals, line items or table rows as structured data. Older OCR stopped at plain text. Current products add layout models and language models, and some are developer APIs while others are finished apps with a review screen.
Quick answer
Parseur ranks first for small teams that want invoices and emails parsed without code, with a free tier. Doxis AI.dp (formerly Klippa) suits European invoice and ID workflows. Mistral OCR fits developers who need cheap per-page text and layout from an API.
Buying this kind of software starts with a split most vendor pages blur: do you need text out of documents, or do you need the right field out of each invoice and a person to check the doubtful ones? The first is an API call billed per thousand pages. The second is a product with templates, review queues and integrations, billed per page or per workflow step. This ranking covers both and says which is which. We read each vendor's pricing, docs and security pages in October 2026. We did not run accuracy tests, so quality statements describe design and published limits, and you should test your ugliest scans before paying.
The 13 best AI OCR and document extraction software in 2026, ranked
There is no score. Vendors can pay for more visibility on this website, for example a higher place in a ranking or more room on a page. Commercial relationships can also affect which products we feature and how prominently. How we rank.
| # | Tool | Best for | Free plan | Entry price |
|---|---|---|---|---|
| 1 | Parseur | Small teams parsing invoices, orders and emailed attachments into spreadsheets or accounting tools without code | Yes | €49 per month for 100 pages |
| 2 | Doxis AI.dp (formerly Klippa) | European finance and onboarding teams processing invoices, receipts and identity documents with a data-protection focus | No | Quoted |
| 3 | Nanonets | Operations teams building multi-step document workflows for accounts payable, orders or logistics | Trial | $100 per month for 100 credits after $50 free credits |
| 4 | Mistral OCR | Developers who need layout-aware text and Markdown from PDFs and images at a low per-page rate | No | $4 per 1,000 pages |
| 5 | Veryfi | Developers and fintech teams capturing receipts, invoices, checks and bank statements through SDKs and an API | Yes | $0.16 per invoice, $500 monthly minimum |
| 6 | Unstructured | Teams feeding PDFs, slides and scans into retrieval and agent pipelines that need clean chunks | Yes | $0.015 per page after 10,000 free pages |
| 7 | ABBYY Vantage | Large organizations running classification, extraction and validation across many document types and languages | No | Quoted |
| 8 | Google Document AI | Teams already on Google Cloud who want OCR, layout parsing and trainable extractors behind one API | Trial | $1.50 per 1,000 pages |
| 9 | Azure AI Document Intelligence | Microsoft-centered organizations needing prebuilt invoice, receipt, ID and contract models inside Azure | Yes | Quoted |
| 10 | Amazon Textract | AWS builders adding text, form, table and expense extraction to serverless pipelines | Trial | Quoted |
| 11 | Rossum | Finance teams processing invoices and similar transactional documents at steady volume | Trial | $18,000 per year (Starter) |
| 12 | Mindee | Developers adding document extraction to their own product through a plain API | Trial | $44 per month (Starter, annual billing) |
| 13 | Docsumo | Lending and insurance operations reviewing bank statements, pay stubs and application packets | Trial | Quoted |
- 1
Parseur
Parseur takes first place because the price per page is visible at every step, a free tier exists, and the same mailbox accepts email, uploads and API calls. Plans scale from 100 to over 100,000 pages a month. It sits above bigger names because a small team can start in an afternoon. It loses ground on accounting-grade workflow depth, which the enterprise platforms offer.
Strong on
- Published price table from 100 pages at €49 up to high-volume tiers
- Free tier of 20 pages a month, with both AI and template parsing engines
- Unlimited mailboxes and extracted fields on every listed tier
Weak on
- Free tier keeps documents only 90 days, and advanced post-processing needs a paid tier
- Page-based credits mean long multi-page statements consume the allowance quickly
Skip it if: Banks or shared-service centers that need approval chains, ERP matching and a vendor contract with service levels. Micro plan billed monthly, €468 a year when billed annually. The free tier covers 20 pages a month.
- 2
Doxis AI.dp (formerly Klippa)
Doxis AI.dp, the document platform formerly sold as Klippa, ranks second because it combines OCR, classification, document verification and identity checks in one Dutch-registered product. Its pages state that processed data is not stored by default. It ranks below Parseur because there is no public price or free tier, so evaluation starts with a sales conversation.
Strong on
- States that no customer data is stored on its servers by default
- Covers invoices, receipts, passports and ID cards plus fraud and verification modules
- Offers OCR and scanning SDKs alongside the web platform and API
Weak on
- No published price, so budgeting needs a quote
- Brand moved from Klippa to Doxis, and older links on the site return not-found pages
Skip it if: Individuals or very small teams that want to read a price and sign up with a card in minutes. Pricing is quoted through a request form and depends on volume and requirements.
- 3
Nanonets
Nanonets ranks third because its pay-per-block pricing, free starting credits and workflow builder suit teams that want extraction plus routing without a platform contract. Its own page estimates a typical invoice flow at four to six blocks per document. The per-run model is harder to forecast than a flat page rate, and compliance extras sit on the Enterprise plan.
Strong on
- Starter plan includes API access, email integration and up to three users
- Enterprise lists HIPAA, SOC 2, SSO and data residency in the US, EU or APAC
- Credits are shared across a team and, per the vendor, do not expire
Weak on
- Cost per document depends on how many blocks a workflow runs, so estimates need a pilot
- Classification, barcode detection and ERP connectors are not on the entry plan
Skip it if: Buyers who want a single flat price per page and no need to design workflows. Usage-based: simple blocks $0.02, standard AI $0.10, complex AI such as extraction $0.30 per run.
- 4
Mistral OCR
Mistral OCR ranks fourth because it is the clearest API for turning documents into structured text, with block-level bounding boxes and confidence scores in OCR 4.1. Pricing is public and low. It sits below the app-style tools because it returns text and annotations, not an invoice review screen, so you build validation, storage and approval yourself.
Strong on
- Returns paragraph bounding boxes, structural block labels and confidence scores
- Table output as Markdown or HTML, with optional header and footer extraction
- Data hosted in the European Union by default, with a US endpoint option
Weak on
- No review interface, so wrong fields are your code's problem to catch
- Help center says Studio free mode may use inputs for training unless you opt out
Skip it if: Accountants who want to upload invoices and get a ready spreadsheet without writing any code. OCR 4.1 text extraction. Structured annotations are $5 per 1,000 annotated pages.
- 5
Veryfi ranks fifth because it prices extraction per document type in the open, from $0.08 per receipt to $0.25 per statement, and ships camera SDKs for mobile and browser capture. The $500 monthly minimum on Starter makes it a poor match for small volumes beyond the free hundred documents, and other document types require contacting sales.
Strong on
- Per-document rates published for invoices, receipts, checks, statements and tax forms
- Lists SOC 2 Type 2 certification, with the report available on request
- Mobile and browser capture SDKs plus fraud-detection add-ons
Weak on
- Starter needs a $500 monthly minimum commitment after the free 100 documents
- Pricing for other document types requires contacting the company
Skip it if: Teams processing a few hundred invoices a month that cannot justify a $500 commitment. Starter commitment. Free plan covers up to 100 documents a month. Receipts $0.08 each.
- 6
Unstructured
Unstructured ranks sixth because it solves a narrower job than invoice capture: converting mixed files into elements and chunks that a language model can use. The free 10,000 pages and $0.015 rate are among the cheapest on this page. It is not a pick for accounts payable, since it offers no field review for business users.
Strong on
- 10,000 free pages, then a flat $0.015 per page with all features included
- Business plan can run in a dedicated instance or VPC with data isolation
- Lists zero data retention, SOC 2 Type 2, HIPAA and GDPR on its pages
Weak on
- Output suits retrieval, not an approval workflow or accounting export
- Custom pricing replaces the flat rate as soon as you need a private deployment
Skip it if: Finance teams who need invoice fields checked by a person before posting to an ERP. Pay-as-you-go with all features. The Business plan is custom-priced for a dedicated instance or VPC.
- 7
ABBYY Vantage
ABBYY Vantage ranks seventh because it is a long-running enterprise document platform with pre-trained skills in a marketplace, and it covers OCR, classification, splitting and quality analytics together. It is well suited to shared-service centers. A buyer without a large volume or an integration team pays for breadth that is unused, and cannot see prices before a sales call.
Strong on
- Pre-trained document skills for finance and logistics available through ABBYY Marketplace
- Covers classification, splitting, extraction, validation and quality analytics in one platform
- Also sells FlexiCapture, FineReader and an API for existing capture setups
Weak on
- No public pricing and no self-serve free tier were found
- Several product lines (Vantage, FlexiCapture, FineReader) make scoping harder for newcomers
Skip it if: Small teams or developers who want to read a rate card and start with a credit card. No public price list. The pricing page we requested returned not found, so quotes come through sales.
- 8
Google Document AI
Google Document AI ranks eighth because the rate card is detailed and low for plain OCR, and it offers a layout parser and custom extractors. The catch is that field extraction costs twenty times the OCR rate, some processors are limited access, and review tooling is yours to build. Teams outside Google Cloud take on extra setup.
Strong on
- Enterprise OCR is $1.50 per 1,000 pages, falling to $0.60 above five million
- Layout Parser is listed at $10 per 1,000 pages and includes initial chunking
- Regional options and customer-managed encryption keys appear in its documentation
Weak on
- Custom extractor and Form Parser are listed at $30 per 1,000 pages
- Some processors are available only to limited-access customers who apply
Skip it if: Non-technical teams that want a finished upload-and-review screen without cloud project setup. Enterprise Document OCR after the first 1,000 pages. Custom extractor and Form Parser are $30 per 1,000.
- 9
Azure AI Document Intelligence
Azure AI Document Intelligence ranks ninth because it offers a free tier, prebuilt models for invoices, receipts, IDs, tax forms and contracts, and custom extraction, all inside Azure. The rates did not render on the page we fetched, so we cannot quote them, and that blocks a fair price comparison. It rewards teams already on Azure and offers little to others.
Strong on
- Free F0 tier allows 500 pages a month across features
- Prebuilt models for invoices, receipts, IDs, W-2, health insurance cards and contracts
- Commitment-based pricing is available in place of pay-as-you-go
Weak on
- Per-page rates were not visible on the pricing page as fetched
- Results and data sit temporarily in regional Azure Storage shared across customers
Skip it if: Teams outside the Microsoft ecosystem that would need to adopt Azure only for OCR. Pay-as-you-go per 1,000 pages. The free F0 tier covers 500 pages a month. Rates are not shown in server-rendered text.
- 10
Amazon Textract
Amazon Textract ranks tenth because it integrates neatly with AWS storage and workflow services and covers text, forms, tables, queries, signatures and expense documents. Its free tier is time-limited to three months, and the rate card renders client-side, so budgeting needs the AWS calculator. Outside AWS it offers no particular advantage over the cheaper options above.
Strong on
- Separate APIs for text detection, document analysis, expenses and identity documents
- Queries feature lets you ask natural-language questions of a page
- Free tier gives 1,000 text-detection pages monthly for the first three months
Weak on
- Forms, tables and layout analysis are capped at 100 free pages a month in the trial
- Pricing varies by feature and region, so one blended rate is hard to quote
Skip it if: Teams without AWS skills or those wanting a ready review interface and spreadsheet export. Per 1,000 pages by feature, loaded from a calculator we could not read. Free tier lasts three months.
- 11
Rossum
Rossum ranks eleventh because the printed entry point is an annual commitment that smaller buyers will find steep. It runs its own in-house Aurora document model, with queues, a validation screen and exception handling for invoices and related paperwork. Starter shows a price, while Business, Enterprise and Ultimate add workflow logic, SSO and multi-document transactions on quote. Low-volume users get better value elsewhere.
Strong on
- In-house Aurora model, so documents are not passed to third-party models, per the vendor
- Starter includes unlimited seats, API access and a twelve-month archive
- ISO 27001, SOC 2 and HIPAA are listed on the pricing page
Weak on
- Minimum contract is one year, with no monthly option shown
- Three of four tiers carry no printed price
Skip it if: Freelancers and small shops with a few hundred documents a month who want pay-as-you-go pricing. Starter is an annual contract with unlimited seats; higher tiers are quoted by volume and workflow complexity.
- 12
Mindee
Mindee ranks twelfth because it is a developer toolkit with a credit meter rather than a finished review workflow. Pages cost one credit each, a confidence score raises that to one and a half, and every plan includes the full API. Starter prices are low and printed, and Pro adds unlimited seats and data processing localization. Business users wanting ready-made approval queues would build more themselves.
Strong on
- Starter and Pro prices are printed, with annual billing saving about ten percent
- Confidence scores and polygons come with the extraction API
- Pro adds data processing localization for regional hosting needs
Weak on
- Overage is billed at the plan rate plus a 20 percent surcharge
- The checked page states no retention period for uploaded documents
Skip it if: Finance teams that want a hosted invoice approval workflow without writing integration code. Credits meter usage: one page is one credit, and extra credits start near $0.05 each.
- 13
Docsumo
Docsumo ranks thirteenth because it prints no prices and no data-handling terms on the page checked. A fourteen-day trial covers up to 1,000 pages and ten licenses, which is enough to test accuracy on real files. Business adds auto-classification and splitting, and Enterprise adds case management and cross-document validation. Buyers must request a quote and expect setup fees before they can compare it with the cheaper options above.
Strong on
- Trial allows 1,000 pages and ten user licenses before any contract
- Enterprise adds cross-document validation, useful for checking a full loan file
- API and webhooks are included on every plan
Weak on
- No prices are published, and setup fees sit on top of the subscription
- Unused monthly credits do not roll over to the next month
Skip it if: Teams that need a printed per-page price or a self-serve plan to start with. No list prices; Business and Enterprise are quoted on page volume, with setup fees added on top.
How these AI OCR and document extraction software were judged
How accurate is AI OCR on invoices, tables and bad scans?
No vendor publishes a score that settles this, because accuracy depends on scan quality, handwriting, table layout and language. The useful facts are design ones. Mistral exposes block-level confidence scores and paragraph bounding boxes in OCR 4.1, so your code can route doubtful pages to a person. Veryfi, Parseur and Nanonets add field extraction on top of text. Google and Azure sell separate prebuilt models for invoices and forms, plus custom extractors you train. Cut a small sample of your worst documents, run two tools on them, and count fields that were wrong or missing.
How much does document extraction cost per page?
Convert every offer to price per page before comparing. As of October 2026, Mistral OCR 4.1 lists $4 per 1,000 pages ($5 with annotations), Google Enterprise Document OCR lists $1.50 per 1,000 pages after 1,000 free, and Unstructured charges $0.015 a page after 10,000 free. Apps cost more per page because they include review and integrations: Parseur starts at €49 a month for 100 pages, and Veryfi lists $0.16 per invoice with a $500 monthly minimum on its Starter plan. Amazon Textract and Azure rates sit behind a calculator, ABBYY and Doxis quote on request.
Are your documents stored or used to train the vendor's models?
Invoices, IDs and medical forms make this the check to do first. Doxis says it does not store processed customer data by default and processes under a data processing agreement. Mistral hosts data in the European Union by default, and its help center says some Studio modes may use input for training unless you opt out. Microsoft says Document Intelligence stores analysis data temporarily in Azure Storage in the same region. Veryfi lists SOC 2 Type 2, and Unstructured lists zero data retention and SOC 2 Type 2. For the other vendors we did not verify policy wording, so ask in writing.
How hard is it to switch extraction tools later?
Switching cost sits in your field definitions and review rules, not in the documents. A custom Google extractor or Azure custom model is trained inside that cloud and does not export. Parseur templates and Nanonets workflows are also vendor formats. Plain-text and Markdown output from Mistral or Unstructured moves easily, but the JSON schema your code expects does not. Keep your own copy of the source documents and a labeled test set of fifty or so files, so you can rerun any new vendor and compare field by field before you migrate.
Which OCR tool suits an accountant, a developer or a large finance team?
An accountant with a few hundred invoices a month wants a finished app: Parseur or Veryfi, with a visible price per page. A developer building search over scanned archives wants a cheap API: Mistral OCR, Google Enterprise OCR or Unstructured. A shared-service center handling many document types and languages wants classification, validation and support contracts, which is where ABBYY and Doxis AI.dp sit. If you already run in AWS, Google Cloud or Azure, the matching service also saves a procurement cycle, though it hands you the review and workflow work.
How to choose an AI OCR and document extraction tool in three steps
- Decide if you need text or fields. Write down what should come out of each document. If the answer is searchable text or Markdown for a language model, shortlist Mistral OCR, Unstructured, Google Enterprise OCR or Amazon Textract's text detection. If the answer is vendor name, date, total and line items sent to an accounting system, shortlist Parseur, Veryfi, Nanonets, Doxis or ABBYY. Paying for field extraction when you only need text wastes money, and buying a text API when you need fields leaves you building the whole review layer yourself.
- Test with your worst fifty documents. Collect fifty real files, including skewed phone photos, faxed pages, multi-page tables and any non-English invoices. Run each shortlisted tool on the same set and record fields that were wrong, missing or invented. Note how each tool shows doubt, such as confidence scores or a review queue. Most vendors offer a free tier or trial for this, including Parseur, Nanonets, Veryfi and Unstructured, and Google, Azure and Amazon give a monthly free page allowance. Keep the scores in a simple table so the comparison stays honest.
- Price the whole workflow, not the page. Take your monthly page count and add what happens after extraction: review time, retries, storage and integration work. Nanonets bills per workflow block, so a typical invoice flow costs several runs per document. Veryfi has a monthly minimum. Cloud APIs bill per thousand pages but leave review to you. Convert each option to cost per correctly extracted document at your volume, and ask enterprise vendors for a written quote against the same sample, including support, onboarding and any minimum monthly commitment.
Frequently asked questions
What is the best AI OCR and document extraction software in 2026?
Parseur ranks first here for small teams because it has a free tier, a clear per-page price and no-code parsing of email and PDFs. Doxis AI.dp ranks second for European invoice and identity workflows, and Nanonets third for workflow-based extraction. Developers should look at Mistral OCR, Unstructured and the cloud APIs, which charge per thousand pages.
What is the difference between OCR and intelligent document processing?
OCR converts an image of text into characters. Intelligent document processing adds classification, field extraction, validation and human review on top, so the output is a structured record such as an invoice with total and line items. Mistral OCR and Textract's text detection are mostly the first, while Parseur, Veryfi, Nanonets, ABBYY and Doxis are the second.
How much does Mistral OCR cost?
As of October 2026, Mistral lists OCR 4.1 at $4 per 1,000 pages and $5 per 1,000 annotated pages on its model documentation. A batch interface existed for earlier OCR versions at a discount, but the current page we read does not state a batch rate, so confirm it before budgeting large backlogs.
Is there a free AI OCR tool for invoices?
Several vendors offer free allowances, not unlimited use. Parseur gives 20 pages a month, Veryfi 100 documents a month, Azure Document Intelligence 500 pages a month, Google 1,000 pages of Enterprise OCR, Unstructured 10,000 pages, and Nanonets $50 in credits. Check each allowance against your monthly volume, because the free tier usually ends within a few weeks of real use.
Can I keep scanned documents in the European Union?
Some vendors say so on their own pages. Mistral states its data is hosted in the European Union by default, with a US endpoint as an option, and Nanonets lists EU data residency on its Enterprise plan. Doxis says its servers are in Europe and the US. Google, Azure and Amazon let you pick regions, but check the specific processor you plan to use.
Do Google, Microsoft and Amazon train on my documents?
We did not verify the training terms of Google Document AI or Amazon Textract for this ranking, so the vendors' own terms should be read before upload. For Azure, Microsoft's documentation says analysis data is stored temporarily in the same region and logically isolated per customer. Training and retention wording changes, so get the current text from each vendor's contract and ask for it in writing.
Which tool is cheapest for millions of pages?
On published rates, Google Enterprise Document OCR drops from $1.50 to $0.60 per 1,000 pages beyond five million pages, and Unstructured lists $0.015 a page. Mistral lists $4 per 1,000 pages. Amazon Textract and Azure rates sit behind calculators, and ABBYY quotes on request, so compare real quotes on your own mix of plain OCR and field extraction.
Do I need a developer to use these tools?
Not for Parseur, Veryfi, Nanonets or Doxis, which offer interfaces for upload, review and export, though integrations with accounting software may need setup help. Mistral OCR, Unstructured, Google Document AI, Amazon Textract and Azure Document Intelligence are APIs first, so someone has to write code that sends files, reads results and handles errors.