gImageReader vs OCRmyPDF
gImageReader
github.comOCRmyPDF
ocrmypdf.readthedocs.ioSide by side
| Figure | gImageReader | OCRmyPDF |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · OCR software | 7.8 (#29) | 8.5 (#10) |
| Free plan | Yes | Yes |
| Supported inputs | both | |
| Language support | The project lists international language support and links to Weblate for translations. | Results may be poor when a document contains languages not specified in the language argument. |
| Primary platform | desktop | desktop |
| Purpose | gImageReader is a Gtk/Qt front-end to tesseract-ocr. | OCRmyPDF adds a searchable text layer to scanned PDF files while preserving the original PDF as much as possible. |
| Searchable PDF | Yes | Yes |
| Security | GitHub reports that the project has no SECURITY.md policy and no published security advisories. | 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. |
Plans
In their own words
gImageReader
gImageReader has no write-up on Specifiction yet; its figures are above.
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.