EasyOCR vs Tungsten OmniPage
EasyOCR
github.comTungsten OmniPage
tungstenautomation.comSide by side
| Figure | EasyOCR | Tungsten OmniPage |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · OCR software | 8.4 (#13) | 9.2 (#1) |
| Free plan | Yes | No |
| Handwriting OCR | No | No |
| Supported inputs | image | both |
| Integrations | The repository says EasyOCR is integrated into Hugging Face Spaces using Gradio and provides a web demo. | The Standard edition lists output support for PDF, Microsoft Office, Corel WordPerfect and HTML, and can send converted documents to Amazon Kindle. |
| Languages | The project states that it supports more than 80 languages, and compatible languages can be read together. | OmniPage Ultimate recognizes over 120 languages. |
| Primary platform | desktop | desktop |
| Purpose | EasyOCR is a Python module for extracting text from images, including natural scene text and dense document text. | OmniPage converts paper documents, PDFs and images into editable, searchable and shareable digital files. |
| Security | The maker pages reviewed do not state a security certification or compliance claim for EasyOCR. | OmniPage Server supports redaction of sensitive information and password-protection and encryption of documents. |
| Support | The repository directs enterprise inquiries to Jaided AI for custom OCR/AI implementation, training or fine-tuning, and deployment services. | The OmniPage product page links users to Tungsten Automation customer support. |
Plans
Tungsten OmniPage
- OmniPage Ultimate€199, paid once
- OmniPage Standard€99, paid once
In their own words
EasyOCR
EasyOCR is a Python module that extracts text from images, including natural scene text and dense document text. The project says it supports more than 80 languages, and compatible languages can be processed together. Its readtext method can return recognized text with bounding-box coordinates and confidence values, or provide text alone. Inputs can be image paths, NumPy arrays, bytes, or URLs. The Reader can use a GPU when available or run in CPU-only mode. Pretrained models download automatically during use, with manual downloads available for offline environments. The API also allows custom recognition networks and settings for detection, recognition, decoding, and text-box merging. Installation options include pip, source, and Docker; Windows users may need to install PyTorch manually first. A web demo is available, and the repository says EasyOCR is integrated into Hugging Face Spaces through Gradio. The public repository identifies the project as Apache-2.0 licensed. There is no paid plan listed. Handwriting recognition is not supported; the README lists it as planned work.
Tungsten OmniPage
Tungsten OmniPage converts paper documents, PDFs, and images into editable and searchable digital files. Its recognition capabilities include OCR, ICR, and barcode recognition, alongside PDF compression. OmniPage Ultimate can batch-process files from folders or email and route results into preprogrammed workflows; it recognizes more than 120 languages and works with mobile and desktop scanners, all-in-one devices, and multifunction printers. Standard edition output includes PDF, Microsoft Office, Corel WordPerfect, and HTML, with the option to send converted documents to Amazon Kindle. OmniPage Server supports redaction, password protection, and document encryption. The desktop editions are Windows-only, and Ultimate is not compatible with Mac. For developers, the Capture SDK provides APIs to add OCR and imaging features to applications; it is offered for Windows, Linux, and Mac and can be deployed on-premises, in containers, or on cloud platforms such as Microsoft Azure and Amazon Web Services. OmniPage is paid software with a free trial and no free plan. Individual desktop license customers receive unlimited technical support access during their first year, subject to the stated support scope.