# OCR / Text Extraction Extract text from images using AI-powered optical character recognition. Supports multiple languages and quality tiers. ## API Endpoint `POST /api/v1/tools/ocr` **Processing:** Synchronous (returns extracted text directly, though progress is reported via SSE if a `clientJobId` is provided) **Model bundle:** `ocr` (3-4 GB) ## Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | file | file | Yes | - | Image file (multipart) | | quality | string | No | `"balanced"` | Quality tier: `fast` (Tesseract), `balanced` (PaddleOCR v5), `best` (PaddleOCR VL) | | language | string | No | `"auto"` | Language hint: `auto`, `en`, `de`, `fr`, `es`, `zh`, `ja`, `ko` | | enhance | boolean | No | `true` | Pre-process image for better OCR accuracy | | engine | string | No | - | Deprecated. Use `quality` instead. Maps `tesseract` to `fast`, `paddleocr` to `balanced` | ## Example Request ```bash curl -X POST http://localhost:13490/api/v1/tools/ocr \ -F "file=@document.png" \ -F 'settings={"quality":"best","language":"en","enhance":true}' ``` ## Response (200 OK) ```json { "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", "filename": "document.png", "text": "Extracted text content from the image...", "engine": "paddleocr-vl" } ``` ### Progress (SSE, optional) If a `clientJobId` is provided, progress events are streamed: ``` event: progress data: {"phase":"processing","stage":"Recognizing text...","percent":50} ``` ## Notes - Requires the `ocr` model bundle to be installed (3-4 GB). - Unlike most AI tools, OCR returns a synchronous JSON response with extracted text (not an image download URL). - Uses a fallback chain: if a higher-quality tier crashes (e.g., PaddleOCR segfault), it automatically retries with the next lower tier. - If a tier returns empty text without crashing, it also falls back to the next tier. - Quality tiers map to engines: `fast` = Tesseract, `balanced` = PaddleOCR v5, `best` = PaddleOCR VL. - Supports HEIC/HEIF, RAW, TGA, PSD, EXR, and HDR input formats via automatic decoding.