Dossier Nova — the AI research tool that organizes PDFs, documents, and audio into a single dossier
Synexis AI · Research Software
If you have ever asked "how do I organize research from PDFs and audio?" or wished AI could build dossiers from your own documents, Dossier Nova was built for you.
What Dossier Nova does
Dossier Nova is an AI-powered research tool that ingests every kind of source you have — PDFs, Word and text documents, recorded interviews, podcasts, and live article URLs — and turns the whole pile into one clean, attributed, search-ready dossier. No more switching tabs, copy-pasting quotes, or losing track of where a claim came from.
Who it is for
- Researchers and academics who need a knowledge base built from primary sources.
- Journalists and investigators who need every quote traceable to the file it came from.
- Analysts and consultants who turn document dumps into client-ready reports.
- Students drowning in PDFs for a thesis or capstone.
Key features
- Multi-source ingestion — PDFs, DOCX, plain text, audio (MP3/WAV), and article URLs.
- Per-section source attribution — every paragraph cites the file or URL it came from.
- Semantic search ready — FAISS vector indexing so you can ask natural-language questions of your dossier.
- Deduplication and cleanup — overlapping passages from different sources are merged, not duplicated.
- Clean Markdown export — publish your dossier as a website, PDF, or feed it into other tools.
How it works
- Upload your PDFs, documents, audio files, and paste any URLs you want included.
- Dossier Nova transcribes audio, parses each file, and builds a structured outline.
- You get an attributed, searchable dossier you can read, query, or export.
Pair it with the rest of the Synexis AI stack
Use Chrono Origin to trace any claim in your dossier back to its earliest known source, then hand the finished report to SpokenVerse to listen to it as an audiobook.