https://github.com/lavvsharma/ocr_verse
OCR Verse is a Streamlit app for extracting text from PDFs and images using OCR models
https://github.com/lavvsharma/ocr_verse
mistral ocr python streamlit
Last synced: 2 months ago
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OCR Verse is a Streamlit app for extracting text from PDFs and images using OCR models
- Host: GitHub
- URL: https://github.com/lavvsharma/ocr_verse
- Owner: lavvsharma
- Created: 2025-03-09T09:13:42.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-09T11:11:23.000Z (over 1 year ago)
- Last Synced: 2025-03-09T11:24:59.085Z (over 1 year ago)
- Topics: mistral, ocr, python, streamlit
- Language: Python
- Homepage: https://ocrverse.streamlit.app/
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# OCR Verse
OCR Verse is a Streamlit-based app for extracting text from PDFs and images using Mistral OCR. It supports input via
document URLs, file uploads, and image URLs. The extracted text is displayed in an expandable section for easy viewing.
Access the application [here](https://ocrverse.streamlit.app/).
## Installation
1. Checkout the GitHub repo.
```shell
gh repo clone lavvsharma/ocr_verse
```
2. Install the required dependency
```shell
pip install .
```
3. Run the streamlit application
```shell
streamlit run OcrVerse.py
```
## Future scope
The app aims to integrate multiple OCR models, bringing them together in one platform for easy testing and comparison.
Additionally, users will be able to configure their own API keys, providing more flexibility and customization for
different OCR services.
## Versioning
This package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain
backwards-incompatible changes may be released as minor versions:
1. Changes that only affect static types, without breaking runtime behavior.
2. Changes to library internals which are technically public but not intended or documented for external use. _(Please
open a GitHub issue to let us know if you are relying on such internals)_.
3. Changes that we do not expect to impact the vast majority of users in practice.
We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.
We are keen for your feedback; please open an [issue](https://github.com/lavvsharma/ocr_verse/issues) with
questions, bugs, or suggestions.
## Requirements
Python 3.12 or higher.