Pricing

from $10.00 / 1,000 page read with ocrs

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PDF & Image to Text / Markdown (with OCR)

Try for free

Convert PDFs and images to clean Markdown and text for RAG, AI agents and automations. Keeps headings, lists, tables and page breaks; OCRs scanned pages and images automatically (28 languages). Pay only for pages that produce text.

Pricing

from $10.00 / 1,000 page read with ocrs

Rating

0.0

(0)

Developer

Nick Na

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

0.1 (unreleased, 2026-10-23)

First version, built and tested locally. Not yet published.

PDFs and images (PNG, JPEG, TIFF incl. multi-page, WebP, BMP, GIF) to Markdown and plain text, one dataset row per file plus .md, .txt and .json files in the run's key-value store, and optional per-page rows in a pages dataset.
PDF text layer via PDFium (pypdfium2); OCR with Tesseract 5 (28 languages) only on pages without a usable text layer and on images. ocrMode auto / always / never.
Layout engine: column-aware reading order (XY-cut), headings from font size and weight, bullet and numbered lists, ruled and aligned tables as Markdown tables, hyphenation repair, running header/footer and page-number removal, rotated pages and auto-rotation of scans, page markers.
Metadata: page count, title (PDF metadata or first heading), author, dates, producer, text-layer flag, OCR confidence, detected language, word/char/table/heading counts.
Inputs from URLs (strings or {url} objects; Google Drive / Dropbox / GitHub share links normalized) and Apify key-value store keys. Optional PDF password (secret input).
Robustness: magic-byte file sniffing, download retries with backoff (Retry-After), size limits, private-network URL blocking, a separate worker process per document with a hard timeout (partial results kept), OOM isolation, per-page error isolation, migration-safe progress state.
Pay-per-event charging (page-extracted, ocr-page) only for pages that produced text, after the files are saved; respects the user's max cost per run with in-flight reservations so parallel documents cannot overspend.

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