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| title: OCR Reader | |
| emoji: 🐢 | |
| colorFrom: green | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 6.29.1 | |
| python_version: '3.12' | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Give image of text and get back the text the model reads. | |
| # OCR Reader | |
| Upload an image of printed text and get back the text the model reads. No code needed: upload, wait a few seconds, read the result. | |
| ## Model | |
| [microsoft/Florence-2-large](https://huggingface.co/florence-community/Florence-2-large), run with the `<OCR>` task. | |
| ## Why this model | |
| It is open (MIT license), reads whole images rather than single cropped lines, and is fast enough to run on a free ZeroGPU Space. | |
| ## Tests | |
| | Input | Result | | |
| |---|---| | |
| | Clean screenshot of printed text | (fill in) | | |
| | Slightly angled or dim photo of a page or sign | (fill in) | | |
| | Handwriting (expected to fail) | (fill in) | | |
| ## Limitations | |
| Handwriting, very stylized fonts, and tiny or blurry text are likely to be misread. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |