OCR (Optical Character Recognition)
Definition
AI technology that extracts text from images, PDFs, and scanned documents.
Why It Matters
Understanding OCR (Optical Character Recognition) is essential for anyone working with AI. This concept underpins how modern AI systems function, and knowing it helps you make better use of AI tools like those available on Free.ai.
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| Term | OCR (Optical Character Recognition) |
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Free AI OCR extracts text from images. Upload a photo of a document, sign, handwriting, or any text and get editable text instantly.
Yes! OCR costs ~250 tokens per image. You get 2,500 tokens/day free.
Photos of documents, screenshots, handwriting, signs, receipts, business cards, whiteboards, and any image with text.
OCR supports 100+ languages and scripts, including Latin, Chinese, Japanese, Korean, Arabic, Cyrillic, and more.
Yes! Our AI OCR can read handwritten text, though accuracy depends on legibility.
No! Extract text from images immediately.
Tesseract and GOT-OCR2 for text extraction. Self-hosted on our GPUs.
JPG, PNG, WebP, BMP, and TIFF images up to 10MB.
Yes! For scanned PDFs, upload at /ocr/ or use /pdf/chat/ for interactive questioning.
High accuracy for printed text. Handwriting and low-quality images may have lower accuracy.
Use /batch/ for processing multiple images.
Yes! See /api/ for the OCR endpoint.