AudioScholar

From one document to a reviewed audio briefing

Every piece is generated from only the document you provide, passed through automated accuracy safeguards, and reviewed and approved by a human expert before anything is published.

Accuracy-first · Human-in-the-loop

1
📄

Ingest

Upload a single PDF, URL, or DOI. That document is the only input.

2
⚙️

Grounded summary

The AI summarizes only what's in the source — no outside material is mixed in.

3
🛡️

Accuracy guards

Source-exclusivity, citation checking, and a clear AI disclaimer are enforced automatically.

4
✍️

Human review

An expert reads, edits the transcript, re-renders the audio, and drafts social posts.

5
✅

Publish

Nothing is released until the reviewer approves it.

How we protect accuracy

AI can hallucinate, misread, or omit. We treat that as a given and design around it.

Source-exclusive

Only your document

The summary is built strictly from the file you upload. There is no autonomous literature search and no blending in of other papers — so the AI can't introduce material that isn't yours.

Citation guard

No invented references

Any reference the AI names is checked against the source. Citations that don't verify are dropped, and a piece that fails the check is blocked — closing the door on fabricated "ghost" citations.

Human-in-the-loop

An expert signs off

Every piece reaches a domain reviewer as a draft. They can correct the transcript and re-render the audio — catching the misinterpretation or omission that automation can miss.

Transparency

Always labelled as AI

Every audio output and transcript ends by stating it is an automated AI-generated summary and that listeners should review the original source.

The review workflow

What the reviewer does, in order — before anything is public.

  1. Generated as a draftThe new piece appears in the Review area only. It is not in any public feed.
  2. Listen & readReviewer plays the audio and reads the full transcript side by side with the source.
  3. Edit the transcriptAny wording is corrected directly in the editor.
  4. Re-render the audioThe edited transcript is turned back into audio at one click — the audio always matches the approved text.
  5. Draft social postsPlatform-ready posts (X, LinkedIn, Bluesky) are generated from the same source, for the reviewer to edit and use.
  6. Publish when readyOnly on approval does the piece enter the public podcast feed.
The publish gate is the guarantee: draft pieces are technically incapable of reaching the public feed until a human presses Publish.

Example closing line on every output: "This is an automated summary generated by artificial intelligence, which can make mistakes. Always review the original source materials."