I will clean and structure simple documents for rag in json with metadata
Freelance AI FullStack Developer
About this Gig
Need clean, reliable document data for your AI workflow?
I help you turn simple documents into RAG-ready outputs for Dify, Make, Coze, and custom pipelines.
What you get
- Clean text outputs (TXT / Markdown)
- Structured metadata (JSON)
- Chunk-ready files (JSONL, Premium)
- Stable source traceability for retrieval use
Best for
- Plain text documents
- Light table content
- Regular OCR scans with readable quality
Supported files
PDF, DOCX, PPTX, TXT, MD, PNG, JPG
Important scope note
This gig is not for advanced layout reconstruction.
If your files have complex merged tables, multi-row headers, or highly complex formatting, message me first for a pre-check.
Integration note
I provide cleaned outputs + guidance/sample usage.
Vector DB ingestion scripts are client-side unless added as a custom order.
Convert from:
Convert to:
JSON
My Portfolio
FAQ
Do you rebuild complex table layouts exactly?
No. This is a text-first, RAG-oriented cleaning service.
Can you handle complex reports with merged cells?
Usually out of scope for this gig. Please contact me first.
Do you integrate into my vector DB directly?
Not by default. I provide outputs + guidance/sample usage.
What about TXT/MD files with no page numbers?
I use stable virtual segment anchors for traceability.

