> ## Documentation Index > Fetch the complete documentation index at: https://docs.case.dev/llms.txt > Use this file to discover all available pages before exploring further. # Process document with OCR > Submit a document for OCR processing to extract text, detect tables, forms, and other features. Supports PDFs, images, and scanned documents. Returns a job ID that can be used to track processing status. ## OpenAPI ````yaml /openapi.json post /ocr/v1/process openapi: 3.1.0 info: title: Case.dev API description: >- The AI-native platform for legal technology. Build smarter legal applications with our suite of AI-powered APIs. version: 1.0.0 contact: name: Case.dev Support email: support@casemark.com url: https://case.dev license: name: Proprietary url: https://case.dev/terms servers: - url: https://api.case.dev description: Production security: - bearerAuth: [] tags: - name: Vaults description: Secure document storage with semantic search and GraphRAG - name: Memory description: >- Persistent memory for AI agents with semantic search and 12 generic indexed tag fields - name: OCR description: Extract text from PDFs, images, and scanned documents - name: Voice description: Audio transcription and text-to-speech - name: LLMs description: Access 40+ language models through a unified API - name: Search description: Web search, AI answers, and deep research - name: Mail description: Managed inboxes for agent email workflows - name: Media description: Transcript retrieval and captioned media clip generation - name: Legal description: Legal research tools including citation verification - name: Privilege description: Privilege detection for e-discovery and litigation workflows - name: Compute description: Serverless GPU and CPU infrastructure - name: Format description: Document formatting and template rendering (MD/JSON to PDF/DOCX) - name: SuperDoc description: Document conversion and template automation - name: Webhooks description: Webhook endpoint management - name: System description: Public system metadata and discovery endpoints - name: Usage description: Usage reporting and webhook subscriptions - name: Database description: Serverless PostgreSQL databases with instant branching - name: Translation description: Language detection and translation for multilingual legal workflows - name: Skills description: Search and read legal AI skills for agents - name: Agents description: >- Create, manage, and execute AI agents with tool access, sandbox environments, and async run workflows - name: Matters description: Matter-native legal workspaces and orchestration primitives - name: Applications Projects description: Web application project management - name: Applications Deployments description: Web application deployment management - name: Applications Domains description: Custom domain configuration for applications - name: Applications Env Vars description: Environment variable management for applications paths: /ocr/v1/process: post: tags: - OCR summary: Process document with OCR description: >- Submit a document for OCR processing to extract text, detect tables, forms, and other features. Supports PDFs, images, and scanned documents. Returns a job ID that can be used to track processing status. operationId: processOcrDocument requestBody: required: true content: application/json: schema: type: object required: - document_url properties: document_url: type: string description: URL or S3 path to the document to process example: https://example.com/contract.pdf document_id: type: string description: Optional custom document identifier example: contract-2024-001 callback_url: type: string description: URL to receive completion webhook example: https://your-app.com/webhooks/ocr-complete engine: type: string description: OCR engine to use enum: - doctr - paddleocr default: doctr example: doctr features: type: object description: Additional processing options properties: embed: type: object description: Generate searchable PDF with text layer additionalProperties: true tables: type: object description: Extract tables as structured data properties: format: type: string enum: - csv - json description: Output format for extracted tables additionalProperties: true forms: type: object description: Detect and extract form fields additionalProperties: true example: embed: {} tables: format: csv result_bucket: type: string description: S3 bucket to store results example: my-ocr-results result_prefix: type: string description: S3 key prefix for results example: ocr/2024/ responses: '201': description: OCR job created successfully content: application/json: schema: type: object properties: id: type: string description: Unique job identifier status: type: string description: Current job status enum: - queued - processing - completed - failed document_id: type: string description: Document identifier engine: type: string description: OCR engine used page_count: type: integer description: Number of pages detected created_at: type: string format: date-time description: Job creation timestamp estimated_completion: type: string format: date-time description: Estimated completion time example: id: ocr_job_67890 status: queued document_id: contract-2024-001 engine: doctr page_count: 15 created_at: '2024-01-15T10:30:00Z' estimated_completion: '2024-01-15T10:45:00Z' '400': description: Invalid request parameters '401': description: Invalid API key '403': description: Insufficient permissions for OCR service components: securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: API Key description: API key starting with `sk_case_` ````