OCRmyPDF vs TextSnatcher
OCRmyPDF
ocrmypdf.readthedocs.ioTextSnatcher
github.comSide by side
| Figure | OCRmyPDF | TextSnatcher |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · OCR software | 8.5 (#10) | 7.6 (#34) |
| Free plan | Yes | Yes |
| Supported inputs | image | |
| Integrations | The documentation identifies Paperless-ngx and Nextcloud OCR as third-party integrations that use OCRmyPDF. | The README names Tesseract OCR and its language data as dependencies; it does not list other product integrations. |
| OCR engine | It uses Tesseract to recognize text in PDF page images. | TextSnatcher uses Tesseract OCR 4.x for character recognition. |
| Primary platform | desktop | desktop |
| Purpose | OCRmyPDF adds a searchable text layer to scanned PDF files while preserving the original PDF as much as possible. | TextSnatcher performs OCR to copy text from images on a Linux desktop. |
| Searchable PDF | Yes | No |
| Security | The project advises using OCRmyPDF only with PDFs users trust and says its Docker web service example has no security measures and is not intended for public internet deployment. | The repository page does not state security or compliance claims. |
Plans
In their own words
OCRmyPDF
OCRmyPDF is free software that adds searchable text to scanned PDF files while retaining the original PDF as much as possible. It uses Tesseract to recognize text in page images and produces PDF/A-2b by default, with regular PDF output available as an alternative. Image-processing options such as deskew can adjust pages to support visual quality and OCR accuracy. When a PDF already contains text, its processing modes can stop with an error, skip affected pages, redo OCR, or force OCR across all pages. OCRmyPDF can also be used as a Python library, and plugins can customize processing steps. Installation methods are documented for Linux, macOS, Windows, FreeBSD, and Docker; Paperless-ngx and Nextcloud OCR are named as third-party integrations. Results may be poor for low-quality scans or languages not specified for processing, and handwriting is not recognized. The project also notes that accuracy may trail commercial solutions. Its documentation advises processing only PDFs users trust and warns that its example Docker web service has no security measures and is not meant for public internet deployment.
TextSnatcher
TextSnatcher has no write-up on Specifiction yet; its figures are above.