Build document extraction, retrieval, support triage, document review, and transcript summaries with complete Python examples.
Each recipe combines Munito AI APIs with application code for one task. Use the complete examples for your first implementation, then evaluate them on your own inputs.
| Task | Recipe | Main components |
|---|---|---|
| Read a PDF or scan | PDF to Markdown | OCR |
| Extract invoice fields | Invoice extraction | OCR and structured outputs |
| Answer from document passages | RAG | OCR, local keyword search, and chat |
| Search by meaning | Semantic search | Local embeddings and chat |
| Select a queue for a ticket | Classification and triage | Structured outputs and a review queue |
| Draft a sourced support answer | Customer support | Approved passages, chat, and source checks |
| Check a document for required information | Document review | A checklist, structured outputs, and source quotes |
| Extract notes and actions from speech | Transcript summaries | Transcription and structured outputs |
Before you start
Create a key in the console and set MUNITO_API_KEY in your environment.
The quickstart explains the first API request.
The search, support, review, and transcript examples use the EU host.
See Regions for the scope of that choice.
Structured outputs control the JSON shape. Your application must still check the values and the source evidence. See the production checklist for errors, rate limits, and retries.