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Image to Text OCR

Pricing

Pay per event

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Image to Text OCR

Image to Text OCR

Extract text from public image and PDF URLs with page-level OCR results.

Pricing

Pay per event

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0.0

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Developer

Sam Towers

Sam Towers

Maintained by Community

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2

Total users

1

Monthly active users

a day ago

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This Actor accepts public image or PDF URLs and writes one normalized dataset item per successfully processed page.

Input is JSON with sources (or urls) as a string or array, plus optional maxFileSizeMB, maxPdfPages, dpi, ocrMode (fast or accurate), quality (draft, balanced, or high), skipEmpty, minConfidence, and includeLines. Downloads are streamed with bounded timeouts and file sizes. PDF text layers are preferred; scanned pages are rendered and OCRed.

Each output contains sourceUrl, pageNumber, text, confidence, ocrMode, sourceSha256, and lines (each line has text, confidence, and [left, top, right, bottom] bounding coordinates). Duplicate source-page outputs are suppressed within a run. Successful pages are charged with page-processed, or accurate-page-processed when accurate OCR is selected. Failed downloads and unreadable pages are skipped without a page charge.

The image/PDF and OCR libraries are declared in requirements.txt; the Docker image installs the Tesseract runtime.