Local server-side OCR with Tesseract after image validation
OCR✓ Editorially reviewed
Image OCR
Extract text from images in Arabic and English.
Inputs .jpg, .jpeg, .png, .webpOutput .txtMaximum 10 file(s)Processing Local server-side OCR with Tesseract after image validation
PROCESSING TRANSPARENCY
Trust center ↗Know what happens before you upload.
A temporary per-request workspace is cleaned when processing ends.
OCR is not guaranteed transcription. Handwriting, complex tables, unusual fonts, rotated pages, noisy backgrounds, and tiny characters can produce recognition errors. The TXT output also does not preserve the visual layout of the original image. Names, IDs, totals, dates, and other high-impact values should always be checked against the source.
Compare several lines from different parts of the image with the source, especially digits and visually similar characters. If recognition is weak, retry with a straighter, sharper, higher-contrast image or the correct OCR language. Do not treat an OCR result as verified legal, financial, or academic transcription without review.
Workspace
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Input—Output—Size change—Time—
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INFINITY INTELLIGENCE
A copilot that understands this tool.
Ask what a setting means, whether this is the right tool, how to recover from an error, or what to do with the result next. Infinity receives safe context from this page — not the file contents automatically.
PRACTICAL CONTEXT
What this tool is good at — and where to be careful.
When this tool makes sense
Best for extracting copyable text from a scan, screenshot, photographed page, or other image where the visible letters are pixels rather than a text layer. The OCR engine runs locally on Infinity's server using Tesseract and the requested language setting. Clean, straight, high-contrast documents generally produce more useful text than blurred, skewed, decorative, or very low-resolution images.
What the engine actually does
After the upload passes image signature, decode, and pixel-limit checks, Infinity runs Tesseract with a bounded timeout and writes recognized text to a plain TXT result. The default language profile is designed for Arabic plus English in the production image. OCR is deterministic document recognition here; the image content is not automatically sent to the optional external Infinity AI provider.
What it does not promise
OCR is not guaranteed transcription. Handwriting, complex tables, unusual fonts, rotated pages, noisy backgrounds, and tiny characters can produce recognition errors. The TXT output also does not preserve the visual layout of the original image. Names, IDs, totals, dates, and other high-impact values should always be checked against the source.
A 20-second quality check
Compare several lines from different parts of the image with the source, especially digits and visually similar characters. If recognition is weak, retry with a straighter, sharper, higher-contrast image or the correct OCR language. Do not treat an OCR result as verified legal, financial, or academic transcription without review.
Frequently asked questions
Is the image sent to external AI for OCR?
No. This OCR workflow uses local Tesseract processing on the Infinity server; file contents are not automatically attached to the optional AI provider.
Why can some words be wrong?
Recognition depends on resolution, contrast, font, language, skew, and image noise, so difficult images need manual review.
✦Clear limits
Supported formats and limits are shown before you start.
⌁No cloud file history
Public conversions are designed around temporary request workspaces, not permanent file storage.
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