| --- |
| license: mit |
| title: Omniparser-api |
| sdk: docker |
| emoji: 😻 |
| colorFrom: red |
| colorTo: yellow |
| --- |
| |
| # Omniparser API |
|
|
| The Omniparser API is a versatile and efficient tool designed to parse, process, and analyze various types of documents or datasets using machine learning models. |
|
|
| ## Features |
|
|
| - Upload and process documents (e.g., images, PDFs). |
| - Detect objects, text, or patterns within uploaded files. |
| - Analyze and parse structured or unstructured content. |
| - Highly configurable thresholds for precision and flexibility. |
|
|
| ## How to Use |
|
|
| 1. **Upload a Document**: Send a file (e.g., an image or PDF) via the `/process/` endpoint. |
| 2. **Adjust Thresholds**: Configure `box_threshold` and `iou_threshold` for desired accuracy. |
| 3. **Receive Results**: Get a JSON response with parsed content and processed outputs. |
|
|
| ## Endpoints |
|
|
| - **`GET /`**: Welcome page for the API. |
| - **`POST /process/`**: Upload and process a document with configurable thresholds. |
|
|
| ## Installation |
|
|
| 1. Clone the repository: |
| ```bash |
| git clone https://github.com/your-username/omniparser-api.git |
| cd omniparser-api |
