Best OCR Software in 2026: Engines, APIs and Desktop Apps Compared

The best OCR software depends on what you need back. For free, self-hosted OCR, use Tesseract for clean printed text or PaddleOCR for multilingual pages and tables. To build OCR into an app, use a cloud API: Google Document AI, Amazon Textract or Azure AI Document Intelligence, each $1.50 per 1,000 pages for basic text at list price, or Mistral OCR for Markdown output. To make scans searchable or editable on a desktop, use ABBYY FineReader PDF or Adobe Acrobat Pro.

Last checked: 17 October 2026. If you need invoice totals, statement rows or other fields as JSON, that’s document parsing, not OCR. See the OCRRank ranking.

This page has no partner or affiliate links, and the tools are listed in no particular order within each group. None of these tools pays OCRRank. OCRRank earns referral fees from some document-parsing vendors elsewhere on the site, which doesn’t affect this page; see our Advertiser Disclosure and How We Make Money.

Pick your path

Start with the output you need, not the tool name.

• “I want a searchable PDF or a Word/Excel file from a scan.” You need desktop OCR software. Go to Desktop OCR software (ABBYY FineReader PDF, Adobe Acrobat Pro, Readiris PDF). For a one-off page, a free built-in option may be enough.
• “I want OCR text inside my own code.” You need an engine or an API. If documents can leave your network, use the cloud OCR API on the cloud you already pay for. If they can’t, start with the open-source engines.
• “I want the invoice total, the line items or each bank transaction.” That isn’t OCR’s job. OCR gives you text, and you’d still have to write the rules that find those fields. Skip to When you outgrow OCR, or read OCR vs document parsing first.

Quick picks

Open-source engines

• Tesseract is the best free OCR engine for clean, printed text you need to process offline.
• PaddleOCR is the best open-source choice for multilingual documents, tables and layout.
• EasyOCR is the quickest open-source engine to try from Python on photos and scene text in 80+ languages.

Cloud OCR APIs

• Google Document AI is the best OCR API for teams on Google Cloud that also want form and layout parsers.
• Amazon Textract is the best OCR API for AWS teams extracting text, tables and forms from English and Western European documents.
• Azure AI Document Intelligence is the best OCR API for Microsoft shops, and for teams that need containers or disconnected deployment.
• Mistral OCR is the best OCR API for LLM and RAG pipelines that want Markdown back.

Desktop software

• ABBYY FineReader PDF is the best desktop OCR for converting scans to editable files across many languages.
• Adobe Acrobat Pro is the best pick if your team already works in PDFs and wants OCR inside the editor.
• Readiris PDF is a desktop PDF and OCR suite worth shortlisting as an alternative to ABBYY and Acrobat; confirm its licence terms on the vendor site before you buy.

Comparison table

Tools are grouped by type and are not ranked within groups. “Not documented” means the vendor pages we checked on 17 October 2026 don’t state it, not that the feature is missing.

What OCR does (and what it doesn’t)

OCR converts pixels into characters. Document parsing returns structured data (fields and tables) in JSON, CSV or Excel. See OCR vs document parsing; mixing the two up causes most buying mistakes here.

An OCR engine reads a scanned invoice and gives you every word, often with positions and confidence scores. It doesn’t know which number is the total or where one line item ends. Some OCR APIs add table and form output, but you still map it into your own fields.

A digital PDF exported from accounting or office software usually already has selectable text, so it may not need OCR at all.

Open-source OCR engines

Open-source engines are free and keep documents on your machines, but you run them yourself: pre-process images, handle PDFs and parse the output. If you’re weighing that work against a hosted API, see Tesseract vs a document parsing API.

Tesseract

Tesseract is the best free OCR engine for clean, printed text you need to process offline.

Tesseract is the long-standing, community-maintained open-source OCR engine. It’s still actively released: version 5.5.3 shipped on 24 July 2026. It supports more than 100 languages out of the box and can be trained on more. Output formats include plain text, hOCR, searchable PDF, TSV and ALTO XML, which makes it easy to slot into scripts and archiving pipelines.

Tesseract reads images, not PDFs. To OCR a scanned PDF you rasterise the pages first. Most people use OCRmyPDF, which wraps Tesseract and writes a searchable PDF back out.

Limits matter here. Tesseract has no table or field extraction, and handwriting isn’t a documented feature. A peer-reviewed 2021 benchmark (Hegghammer, Journal of Computational Social Science) found Google Document AI and Amazon Textract ahead of Tesseract, with the gap widest on noisy scans. Engines have moved on since 2021, so treat it as a pattern, not a current score.

Pricing: free to use (Apache-2.0); you pay for your own compute.
Skip it if: your scans are noisy or skewed, you need handwriting, or you need tables.

PaddleOCR

PaddleOCR is the best open-source choice for multilingual documents, tables and layout.

PaddleOCR is Baidu’s open-source OCR toolkit, built on the PaddlePaddle framework and licensed Apache-2.0. The latest release is v3.7.0 (11 June 2026). It covers 100+ languages, and its PP-OCRv5 models expand that to 111.

What sets it apart from Tesseract is structure. PP-StructureV3 converts PDFs and images into Markdown or JSON, including table-cell coordinates. PaddleOCR-VL is a small document vision-language model for harder layouts. The project reports leading results on the OmniDocBench benchmark. That figure is vendor-reported, so treat it as a reason to test, not a verdict.

The trade-off is weight. Installation is heavier than Tesseract, and the VLM models run far better with a GPU. Handwriting isn’t stated in the README, so don’t assume it.

Pricing: free to use (Apache-2.0); you pay for your own compute.
Skip it if: you want a tiny dependency for clean single-column text. Tesseract is simpler there.

EasyOCR

EasyOCR is the quickest open-source engine to try from Python on photos and scene text in 80+ languages.

EasyOCR is a Python package with a deliberately small API: install it, load a language, pass an image, get text with boxes back. It supports 80+ languages and is a common pick for reading text in photos, signs and screenshots.

Be clear about its status. The last tagged release, 1.7.2, dates from 24 September 2024. Handwriting is listed under “What’s coming next”, so it isn’t shipped. There’s no table or layout output.

Pricing: free to use (Apache-2.0); you pay for your own compute.
Skip it if: you’re processing scanned business documents in production. It’s a prototyping tool first.

Cloud OCR APIs

Cloud APIs charge per page, with no servers to maintain; you still write the code that turns their output into business data. Basic text costs $1.50 per 1,000 pages at Google, AWS and Azure (list price, checked 17 October 2026). Tables, forms and layout cost $10 to $50 per 1,000 pages. For the build-it-yourself path to structured output, see PDF to JSON, and for a head-to-head on invoices, AWS Textract vs Google Document AI.

Google Document AI

Google Document AI is the best OCR API for teams on Google Cloud that also want form and layout parsers.

Document AI wraps OCR in a family of processors. Enterprise Document OCR handles text, with automatic language detection plus language and handwriting hints, and it detects handwriting at token level. Layout Parser and Form Parser add structure, and Custom Extractor handles your own document types. Each is priced separately, so you only pay for structure when you call it. Google’s separate Cloud Vision API also does OCR on images, but for documents Document AI is the product to evaluate.

Pricing (list price, checked 17 Oct 2026):

• Enterprise Document OCR: first 1,000 pages free, then $1.50 per 1,000 pages up to 5 million, $0.60 per 1,000 above that
• Layout Parser: $10 per 1,000 pages
• Form Parser and Custom Extractor: $30 per 1,000 pages up to 1 million, $20 per 1,000 above

Skip it if: you’re not on Google Cloud and don’t want another cloud account just for OCR.

Amazon Textract

Amazon Textract is the best OCR API for AWS teams extracting text, tables and forms from English and Western European documents.

Textract splits its API by job. Detect Document Text returns printed and handwritten text. Analyze Document adds forms, tables, queries and signatures. Specialist APIs cover expenses, identity documents and lending. Results include confidence scores and bounding boxes.

The language limit is the key fact. Textract supports English, Spanish, Italian, Portuguese, French and German, and handwriting, invoices and receipts, identity documents and queries work in English only. If your documents are in Hebrew, Arabic, Chinese or Japanese, look elsewhere.

Pricing (US West (Oregon) list price, checked 17 Oct 2026):

• Detect Document Text: $0.0015 per page ($1.50 per 1,000) for the first million pages, then $0.0006
• Analyze Document: tables $0.015 per page, forms $0.05 per page (first million pages)
• Free Tier: three months for new AWS customers, covering 1,000 pages a month of Detect Document Text and 100 pages a month of forms, tables and layout

Skip it if: your documents aren’t in one of the six supported languages, or you need non-English handwriting.

Azure AI Document Intelligence

Azure AI Document Intelligence is the best OCR API for Microsoft shops, and for teams that need containers or disconnected deployment.

Microsoft’s service offers a Read model for printed and handwritten text, with a per-language support table for each. A Layout model handles tables and structure, and prebuilt models cover invoices, receipts, IDs and more, plus custom extraction. The differentiator for regulated teams is deployment: Microsoft offers commitment tiers and disconnected (offline container) pricing, so OCR can run without documents leaving your environment.

Pricing (East US, S0 pay-as-you-go list price, checked 17 Oct 2026):

• Read: $1.50 per 1,000 pages, then $0.60 per 1,000 after 1 million
• Layout and prebuilt models: $10 per 1,000 pages
• Custom extraction: $30 per 1,000 pages; query-fields add-on $10 per 1,000
• Free tier: 500 pages a month. It analyzes only the first two pages of each request, so it’s for testing, not for real volume.

Skip it if: you don’t need Azure, containers or prebuilt Microsoft models. The other two clouds charge the same for basic text.

Mistral OCR

Mistral OCR is the best OCR API for LLM and RAG pipelines that want Markdown back.

Mistral’s OCR API (the current model is mistral-ocr-4-1) returns documents as Markdown with tables and layout preserved, plus bounding boxes, block labels and confidence scores. That’s the shape most retrieval and LLM pipelines want, so there’s less glue code than with raw text output. Mistral says it covers 170 languages. Self-managed, single-container deployment is offered to enterprise customers. Mistral publishes its own benchmark results; they’re vendor-run, so test on your own files.

Pricing (list price, checked 17 Oct 2026):

• $4 per 1,000 pages; $2 per 1,000 through the Batch API (50% off)
• $5 per 1,000 annotated pages (Document AI annotations)

Skip it if: you need documented handwriting support. It isn’t stated on the pages we checked.

Desktop OCR software

Desktop OCR is for people turning scans into searchable PDFs, Word or Excel files, one file or a batch at a time. It isn’t built to feed other systems. For that job in more depth, see OCR for scanned documents, and for spreadsheets, PDF to Excel.

ABBYY FineReader PDF

ABBYY FineReader PDF is the best desktop OCR for converting scans to editable files across many languages.

FineReader PDF runs on Windows and Mac. It edits, converts and compares PDFs and scans, and ABBYY lists 198 recognition languages “in all combinations”, which matters for mixed-language documents. The Corporate edition adds document comparison and Hot Folder automated conversion. Hot Folder has a monthly page limit, per the pricing-page footnote, so check it before you plan bulk jobs around it.

Pricing (list price in USD as shown to us, checked 17 Oct 2026; currency may vary by region):

• FineReader PDF Standard: $99 a year, $267 for 3 years, or $16 a month
• FineReader PDF Corporate: $165 a year, $446 for 3 years, or $24 a month
• FineReader PDF for Mac: $69 a year or $186 for 3 years (no monthly plan)

Skip it if: you only OCR a few pages a month. A free built-in option may do.

Adobe Acrobat Pro

Adobe Acrobat Pro is the best pick if your team already works in PDFs and wants OCR inside the editor.

In Adobe’s lineup, Acrobat Pro (not Standard) is the tier that turns scanned documents into editable, searchable PDFs. It runs on desktop, web and mobile, and the Adobe Scan mobile app feeds into it. If your team already edits and signs PDFs in Acrobat, OCR sits where they already work. Adobe’s main offer is a subscription. Acrobat Pro 2024 is also sold as a one-time purchase with three years of access.

Pricing: see vendor pricing at adobe.com/acrobat/pricing. Prices vary by region.
Skip it if: you need OCR in many languages at once, or batch conversion to Word and Excel is the main job. Compare against ABBYY first.

Readiris PDF

Readiris PDF is a desktop PDF and OCR suite worth shortlisting as an alternative to ABBYY and Acrobat; confirm its licence terms on the vendor site before you buy.

Readiris comes from IRIS. The current lineup on irislink.com includes Readiris PDF Essential and Readiris PDF Elite (PDF management with OCR) and a separate OCR line, Readiris Pro 17 and Readiris Corporate 17. The vendor pages we checked didn’t state language counts, handwriting support or the licence model, so we haven’t filled those in. Third-party roundups quote figures that we couldn’t confirm with the vendor.

Pricing: see vendor pricing at irislink.com.
Skip it if: you need documented language or handwriting coverage before you buy. Ask IRIS directly, or start with ABBYY.

Free OCR options you already have

Before you buy anything, two free tools cover occasional OCR. They’re not ranked here.

• Google Drive: right-click an image or PDF and choose Open with → Google Docs. Drive converts it into an editable Doc with the text. Google’s help page says files should be 2 MB or smaller, and tables and columns are unlikely to carry over.
• Windows PowerToys Text Extractor: press Win + Shift + T and drag over any part of the screen. The text, including text inside images, lands on your clipboard (Microsoft Learn).

The cloud APIs above also have free allowances: Document AI’s first 1,000 pages, Textract’s three-month free tier for new AWS customers, and Azure’s free tier.

How to choose OCR software

• If you need a searchable PDF or Word file, buy desktop software (ABBYY FineReader PDF or Adobe Acrobat Pro).
• If you need text in your own code and data can leave your network, use the cloud API on the cloud you already pay for.
• If data can’t leave your servers, use Tesseract or PaddleOCR, or Azure containers or Mistral’s enterprise self-managed option for API-style use.
• If you need handwriting, check documented support first: Google Document AI detects it, Textract reads it in English only, Azure lists it per language, and EasyOCR doesn’t support it yet.
• If you need fields, line items or rows, you need document parsing, not OCR. See the next section.

Whatever you pick, test it on your worst 20–50 pages (skewed scans, faxes, phone photos), not the vendor’s sample.

When you outgrow OCR: document parsing

OCR gives you text. Your team still writes the rules that find the invoice number, the total or each transaction row, then fixes them when a supplier or bank changes its layout. Cloud table and form features return generic key-value pairs and cells, not your fields, so someone still maps them.

That’s when a managed document parsing API is usually cheaper than more OCR code. A parser returns named fields and tables as JSON, CSV or Excel from scans and digital PDFs alike.

If that sounds like your job, start with the guide that matches it:

• Invoice data extraction: header fields and line items
• Bank statement PDF to Excel: transaction rows you can reconcile
• Extract tables from PDF to Excel: tables from reports and statements
• Contract data extraction: parties, dates and clauses
• PDF to JSON: structured output for developers

OCRRank ranks document parsing tools separately. See the full ranking, where DocuPipe is our production default for developers. This page doesn’t change that ranking, and none of the OCR tools above is part of it.

FAQ

The short version

For searchable files, buy ABBYY FineReader PDF or Adobe Acrobat Pro. For OCR in code, use your cloud’s API or Mistral OCR. For free and private, use Tesseract or PaddleOCR. If you need fields and rows, not text, see the OCRRank ranking of document parsing tools, then OCR vs document parsing or OCR for scanned documents.

Last checked: 17 October 2026.