Online OCR for PDFs, Images & Documents | OCRStack
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Detail Information
What
OCRStack is a browser-based optical character recognition (OCR) utility designed to extract text from scanned PDFs, document photos, screenshots, forms, and financial receipts. It addresses the friction of locked text in image-based documents by converting static files into editable digital assets without requiring local software installation. The platform is positioned as a lightweight, credit-managed document conversion tool that outputs recognized content into Word, plain text, or Markdown formats.
Features
- Broad file format support: Ingests PDF, JPG, PNG, TIFF, BMP, GIF, and WebP files up to 50 MB, allowing users to process diverse document and image formats.
- OCR model selection: Offers selectable OCR models so users can match recognition capabilities to document quality, layout complexity, and credit expenditure.
- In-browser text preview: Displays extracted text directly on the screen prior to export, enabling immediate verification before finalizing outputs.
- Multi-format document export: Converts recognized text into editable Word (DOCX) files that preserve basic structure (headings, paragraphs, lists, and simple tables), plain TXT, or Markdown notes.
- Unified credit management: Operates on a single account balance that tracks page- and model-based credit consumption across all supported document workflows.
Helpful Tips
- Assess formatting limits: While the tool preserves basic structural elements such as lists and simple tables in DOCX exports, highly complex forms or multi-column layouts will likely require manual formatting after export.
- Balance model quality against credit usage: Test document samples against the available OCR models to identify the most cost-effective model that meets your accuracy needs before processing large volumes.
- Check file size boundaries: Confirm that scanned PDFs and high-resolution image bundles remain under the 50 MB upload limit prior to processing.
OpenClaw Skills
OCRStack does not document any native integrations, webhooks, or API capabilities with the OpenClaw ecosystem. As a hypothetical use case, an OpenClaw document agent could potentially route incoming scanned records or receipts to an OCRStack pipeline to transform unstructured image data into Markdown or text files for automated indexing. If technically realized, such an automated ingestion workflow could reduce manual data transcription for administrative and accounting workflows.
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