Every Document You Have Is a Requirements Document Now.
Upload Word docs, PDFs, Excel, CSV, or PowerPoint and WalnutAI instantly extracts structured user stories, features, and modules. AI requirements extraction software that turns any source into development-ready requirements in minutes.
Trusted by BA and QA teams who've eliminated manual extraction
Faster than manually extracting requirements from a 100-page document
To process a 100-page BRD into a structured, traceable requirements hierarchy
Input formats processed — from Word and PDF to Figma, Jira, and Git repositories
Requirements extraction that used to take days now takes minutes
A senior business analyst manually extracting and structuring requirements from a 100-page BRD typically spends two to three full days reading, interpreting, and writing stories. WalnutAI's Intelligence Hub processes the same document in under five minutes — with human review of every extracted story before anything is saved. The BA's time is spent on judgment, not transcription.
Processes any format your team already works in
Word documents, PDFs (scanned or digital), Excel sheets, CSVs, PowerPoint decks, Figma designs, Jira exports, Azure DevOps exports, Playwright scripts, and Git repositories — WalnutAI reads them all and outputs the same structured result regardless of what format requirements arrived in.
A 9-phase AI pipeline that preserves document context
Rather than sending your document as a raw text dump, WalnutAI section-aware chunks it, vectorizes it, and uses RAG to pull the most relevant sections as context for each extraction call. The result is stories that reflect the document’s actual structure and intent — not a flat summary.
Recovers from failures without starting over
LangGraph stateful processing keeps a checkpoint after every pipeline phase. If processing fails on a large document mid-run, it resumes from the last successful step automatically — not from page one. A 100-page BRD processes in under 5 minutes in standard deployments.
You stay in control before anything is saved
Every extracted story goes through a human review gate. Accept, edit, or reject stories individually or in bulk — and use the built-in chat panel to query the extracted content, groom the stories and refine the output and verify accuracy before committing anything to your project.
Ready to ship with confidence?
See how WalnutAI connects requirements, code, testing, and deployment into one intelligent workflow.