Tesseract OCR
- Android app
- Yes
- Free plan
- Yes
- Runs on
- Android, api, iOS, Linux, Mac, self-hosted, Windows

Summary
Tesseract OCR is a free, open-source engine for extracting printed text from images. It offers a command-line program and C and C++ APIs, but no graphical interface, so it suits command-line workflows and software integrations rather than users seeking a standalone desktop app. It recognizes more than 100 languages and supports Unicode UTF-8. Tesseract 4 introduced an LSTM neural-network engine for line recognition while retaining its older character-pattern engine. Input formats include PNG, JPEG, TIFF, JPEG 2000, GIF, WebP, BMP, and PNM; output can be plain text, hOCR, PDF, TSV, ALTO, or PAGE. It cannot read PDFs directly, though PDF is available as an output format. The project documents wrappers for languages including Python, Java, Swift, Flutter, Ruby, Rust, and Go, along with source compilation and Docker deployment. Tesseract is licensed under Apache 2.0; dependencies may have different licenses. The project notes that image quality can affect recognition results.
Who it is for
Tesseract suits developers and technical users who need OCR in a command-line workflow or through an API. Its broad language coverage and multiple output formats may also suit projects that need to process varied image files.
What is good
- Free and open source under Apache License 2.0
- Recognizes more than 100 languages
- Accepts a wide range of image formats
- Offers several output formats, including PDF
- Documented wrappers cover multiple programming languages
What to know first
- No graphical user interface is included
- Cannot read PDF files directly
- No official Windows installer for newer versions
Everything Xiaomi review
Tesseract OCR: the full review
Tesseract provides a broad OCR toolkit for users comfortable with command-line or API workflows. Its lack of a GUI and direct PDF input are important constraints to account for.
Tesseract OCR is an open-source engine for extracting printed text from images, best suited to developers and technically comfortable users building command-line or self-hosted workflows. Its language coverage and flexible output options are compelling, but a missing GUI and no direct PDF input make it unsuitable as a simple desktop scanning app.
Overview
Tesseract combines the libtesseract engine with a command-line program and C and C++ APIs. That gives developers a foundation for integrating OCR into software or running it in their own environments; users who expect to open an app, choose an image and process it visually will need another tool.
The Apache License 2.0 makes Tesseract free to use, though dependencies may carry different licenses. The project provides no warranty or conditions, so teams adopting it should account for their own integration, maintenance and support needs. Support channels include documentation, an FAQ, forums, past issues and mailing lists.
Key features
Tesseract supports Unicode UTF-8 and recognizes more than 100 languages out of the box. It can also be trained for additional languages, but the old tesstrain.sh training method is unsupported and abandoned for version 5. That breadth is valuable for multilingual workflows, while custom training may require a different approach.
Version 4 added an LSTM neural-network engine focused on line recognition while retaining the legacy character-pattern engine. Supported image inputs include PNG, JPEG, TIFF, JPEG 2000, GIF, WebP, BMP and PNM. Image quality can affect results, so preparing input images may be important when recognition needs to be dependable.
Output options include plain text, hOCR, PDF, TSV, ALTO and PAGE. This range supports workflows that need more than extracted text, including PDF output, but Tesseract cannot read a PDF directly. Users must convert PDF pages to images first or use OCRmyPDF, which adds a step for document-heavy work.
Project documentation lists wrappers for Python, Java, Swift, Flutter, Ruby, Rust and Go, among others. Source compilation and Docker instructions support deployment choices for technical users. Tesseract is included in most Linux distributions, while there is no official Windows installer for newer versions, so Windows users should be prepared to handle installation themselves.
Pricing
Tesseract OCR costs 0.00 USD per free. The free offering is the open-source OCR engine under Apache License 2.0, with no trial period or paid plan described. There are no stated seats or usage quotas; the trade-off is that users supply their own interface, integration and workflow around the engine.
Platforms
Tesseract is listed for Android, iOS, Linux, macOS, Windows, API use and self-hosting. The command-line program, C and C++ APIs, language wrappers and deployment instructions make it most straightforward for developers. Platform availability does not change the central constraint: the project itself has no GUI, and newer Windows versions lack an official installer.
Who it's for
Tesseract suits developers who want a free OCR engine they can integrate, run locally or deploy in a self-hosted environment, especially when broad language coverage and multiple output formats matter. It is a weaker fit for people who need a ready-made graphical scanner or a direct PDF-to-text workflow without conversion.
Pros and cons
- Pros: Free and open source under Apache License 2.0, with no stated usage quota.
- Pros: More than 100 languages, Unicode UTF-8 support and training for additional languages give it reach beyond a single-language workflow.
- Pros: Multiple image inputs and outputs, plus APIs and language wrappers, give developers flexibility in how they build around OCR.
- Cons: No GUI means nontechnical users must find or build another interface.
- Cons: Direct PDF input is unsupported, adding conversion work unless users adopt a PDF-oriented companion tool.
- Cons: Image quality affects recognition, and newer Windows versions have no official installer.
Alternatives
For a hosted OCR API with an explicit free allowance, consider OCR.space: its free plan allows 25,000 requests per month, 1 MB files, three PDF pages and 500 requests per day per IP, with searchable PDFs carrying a watermark. If direct PDF processing is the priority, OCRmyPDF is a free, self-hosted option that depends on external OCR and PDF tools.
PaddleOCR offers a free official API tier with a daily limit of 20,000 document pages. Veryfi Invoices OCR API is an invoice-focused paid option with a $500.00 USD per month minimum commitment on its Starter plan, so it is a different fit from a free general OCR engine.
Amazon Textract AnalyzeExpense is a paid API option with a three-month AWS free tier for new customers, covering up to 100 pages per month. API4AI OCR offers pay-as-you-go prepaid usage and a free RapidAPI plan with limits unstated. For document-reader SDKs, Regula Document Reader SDK has a 30-day free trial capped at 2,000 transactions, while Asprise OCR SDK is another paid SDK option with Lite, STD and ENT plans.
See the OCR API Software directory for more options.
Verdict
Choose Tesseract if you want a no-cost, adaptable OCR engine and can supply the interface, integration and image-preparation workflow yourself. Its combination of language coverage, formats and developer access is the reason to pick it; look elsewhere if you need a GUI, direct PDF input or a managed, ready-to-use service.
Tesseract OCR plans and pricing
All plansCompared on OCR API software
- Free plan
- Yestesseract-ocr.github.io
- Structure extraction
- Yestesseract-ocr.github.io
- SDK languages
- C, C++tesseract-ocr.github.io
Facts
- What it does
- Tesseract is an open source OCR engine that extracts printed text from images.tesseract-ocr.github.io · 2 Oct 2026
- How to use it
- It can be used from the command line or through an API, and the project does not include a GUI application.github.com · 2 Oct 2026
- Recognition engine
- Tesseract 4 added an LSTM neural-network engine for line recognition while retaining the legacy engine.github.com · 2 Oct 2026
- Languages
- The project says Tesseract can recognize more than 100 languages out of the box.github.com · 2 Oct 2026
- Output formats
- Supported output formats include plain text, hOCR, PDF, TSV, ALTO, and PAGE.github.com · 2 Oct 2026
- Image formats
- Supported input formats include PNG, JPEG, TIFF, JPEG 2000, GIF, WebP, BMP, and PNM.tesseract-ocr.github.io · 2 Oct 2026
- PDF limitation
- Tesseract cannot read PDF files directly; its documentation suggests converting them or using OCRmyPDF, and says PDF is supported as an output format.tesseract-ocr.github.io · 2 Oct 2026
- Integrations
- The project documentation lists language wrappers including Python, Java, Swift, Flutter, Ruby, Rust, and Go.tesseract-ocr.github.io · 2 Oct 2026
- Platforms
- The manual says Tesseract can be compiled for targets including Android and iPhone; the project also lists Linux, macOS, and Windows GUI projects using Tesseract.tesseract-ocr.github.io · 2 Oct 2026
- License
- Tesseract is distributed under the Apache License 2.0.github.com · 2 Oct 2026
- Security updates
- The repository security policy lists version 5.5.x as supported and versions below 5.5 as unsupported.github.com · 2 Oct 2026
- Support
- The project directs users to its documentation, FAQ, forums, past issues, and mailing lists for support.github.com · 2 Oct 2026
- Downloads
- Tesseract is included in most Linux distributions, and the downloads page says there is no official Windows installer for newer versions.tesseract-ocr.github.io · 2 Oct 2026
- Purpose
- Tesseract is an open source text recognition (OCR) engine for extracting printed text from images.tesseract-ocr.github.io · 3 Oct 2026
- Recognition
- It supports Unicode UTF-8 and recognizes more than 100 languages out of the box.github.com · 3 Oct 2026
- OCR engines
- Tesseract 4 introduced an LSTM neural network engine focused on line recognition and retained the legacy character-pattern engine.github.com · 3 Oct 2026
- Input formats
- It supports image formats including PNG, JPEG and TIFF.github.com · 3 Oct 2026
- Interfaces
- The package includes the libtesseract OCR engine and a tesseract command line program, and developers can use its C or C++ API.github.com · 3 Oct 2026
- Language bindings
- The project documentation lists wrappers for languages including Python, Java, Ruby, Rust, R, Node.js and Go.tesseract-ocr.github.io · 3 Oct 2026
- Deployment
- The manual links to source compilation and Docker container instructions.tesseract-ocr.github.io · 3 Oct 2026
- Security and license
- The repository code is licensed under Apache License 2.0 and is provided without warranties or conditions, and the README notes that dependencies may have different licenses.github.com · 3 Oct 2026
- Notable limitation
- The project does not include a GUI application, and the README says image quality may need improvement for better OCR results.github.com · 3 Oct 2026
- Training
- Tesseract can be trained to recognize other languages, while the manual says the old tesstrain.sh training approach is unsupported and abandoned for version 5.tesseract-ocr.github.io · 3 Oct 2026
- History
- Tesseract was developed at Hewlett-Packard, open sourced by HP in 2005, and developed by Google from 2006 to August 2017.github.com · 3 Oct 2026
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Sources
- tesseract-ocr.github.io/tessdoc/· checked 2 Oct 2026
- github.com/tesseract-ocr/tesseract· checked 2 Oct 2026
- tesseract-ocr.github.io/tessdoc/InputFormats.html· checked 2 Oct 2026
- tesseract-ocr.github.io/tessdoc/AddOns.html· checked 2 Oct 2026
- github.com/tesseract-ocr/tesseract/blob/main/SECUR· checked 2 Oct 2026
- tesseract-ocr.github.io/tessdoc/Downloads.html· checked 2 Oct 2026

