Pull structured data from messy text using AI. Use when parsing invoices, extracting fields from emails, scraping entities from articles, converting unstructured text to JSON, extracting contact info, parsing resumes, reading forms, pulling data from transcripts (VTT, LiveKit, Recall), extracting fields from Langfuse traces, or any task where messy text goes in and clean structured data comes out.
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Build an AI Data Parser
Guide the user through building AI that pulls structured data out of messy text. Uses DSPy extraction — define the output shape, and the AI fills it in.
Step 1: Define what to extract
Ask the user:
What are you parsing? (emails, invoices, resumes, transcripts, articles, forms, etc.)
What fields do you need? (names, dates, amounts, entities, etc.)
Are any fields optional? (some documents might not have every field)
**What's the output format
[Description truncada. Veja o README completo no GitHub.]
