Extract text accurately from images, PDFs, and scanned documents. Automate data entry, searchability, and workflows with custom Tesseract integrations.
Tesseract OCR is an open-source engine for converting images to text. It supports multilingual recognition, layout analysis, and can be fine-tuned for specific fonts or domains to achieve high accuracy in text extraction tasks.
Supports over 100 languages and scripts
Fine-tune for specific fonts or domains
Ready for APIs & workflow automation
Handles high-volume document processing
Efficient text extraction process with preprocessing, layout analysis, recognition, and advanced post-processing.
1
Preprocess: Enhance images, binarize, and remove noise for better OCR accuracy.
2
Layout Analysis: Detect lines, words, characters, tables, and page structures using Tesseract's PSM modes.
3
Recognize: LSTM neural networks detect and convert characters into editable text.
4
Post-process: Correct OCR errors using dictionaries, spell-checking, and language models. Format text for integration.
5
Output & Integrate: Export editable text or searchable PDFs and integrate into your business workflows or applications.
LSTM-based engine for precise text extraction from images and PDFs.
Supports over 100 languages, scripts, and writing systems.
Fine-tune for specific fonts, languages, or business requirements.
Detects lines, tables, and complex document layouts accurately.
Easily integrate OCR into apps, workflows, and cloud services.
Fully customizable, cost-effective, and community-supported.
Tailored Tesseract OCR deployments across industries: finance, healthcare, legal, archiving, and more—wherever text extraction is key.
Convert scanned papers to searchable text.
Extract data from bills and receipts automatically.
Digitize patient forms and reports.
Make historical documents searchable.