Best AI Tools to Turn Reports into Podcasts

Direct answer: To turn a report, whitepaper, or set of meeting notes into a podcast, upload the document to a source-grounded AI podcast generator such as Scholarly, which writes a multi-speaker script from the document itself, narrates it with AI voices, and gives you a transcript with citations back to the source. If you need full editorial control over a script you wrote yourself, a voice studio such as ElevenLabs or Jellypod is the better fit. For a quick private briefing inside Google's ecosystem, NotebookLM's Audio Overviews are the simplest option.

Last verified: August 23, 2026

This guide is written for professionals rather than students: the person who has a 40-page market report to absorb before a Monday meeting, the sales leader who wants reps to actually hear the new product brief, and the people-ops team that needs onboarding material new hires can listen to on a commute. Each tool below was checked against its live website on the date above. We do not quote third-party prices because they change; follow the vendor links for current plans.

1. Scholarly — source-grounded podcasts from your own documents

Scholarly's AI podcast generator is built around one idea: the episode must come from your material, not from the model's general knowledge. You upload a PDF, pasted notes, slides, a link, or a recording, and Scholarly produces a three-speaker episode (a host, a producer, and a guest) with a transcript, chapters, source citations, and interactive questions you can answer while listening.

What that means for work documents:

• Reports and whitepapers. Upload the PDF and get a conversational walkthrough of the findings. Because every claim is tied back to the page it came from, you can stop the episode, open the citation, and check the figure before you repeat it in a meeting.
• Meeting notes. Paste the notes or upload the recording. Scholarly can also record a meeting live and produce structured notes with its AI meeting notes generator, then turn that same recording into a podcast, flashcards, or a summary.
• Onboarding and enablement. A handbook or SOP becomes an audio briefing a new hire can listen to before day one. Teams plans add a shared library so the whole department works from the same sources, and the same document can also become a narrated training video or a numbered SOP.

Practical limits to know: the Free plan includes one lifetime AI creation and one lifetime upload (8MB, 32 PDF pages), which is enough to test the output on a real document but not to run a weekly briefing. Streaming and sharing an episode by link work on every plan; MP3 or MP4 download requires a paid plan. Paid personal plans start at Premium ($30/mo or $144/yr), and Teams plans start at Premium for Teams ($35 per seat per month). Scholarly runs in the browser; there is no native mobile app or offline mode.

Best for: anyone who needs the podcast to be accurate to the document and wants the same upload to produce flashcards, quizzes, videos, and notes, not only audio.

2. NotebookLM Audio Overviews — the quickest private briefing

Google's NotebookLM generates an "Audio Overview" from the sources you add to a notebook: a two-host conversation summarising the material. It lives inside a Google account, which makes it convenient if your reports already sit in Drive and you only need something to listen to yourself.

Strengths: very low friction, no script editing required, and it handles several sources in one notebook. Limits to consider for professional use: the output is a summary conversation rather than an editable production, and you will want to check how your organisation's data-handling policy treats documents uploaded to a consumer Google product. Google's own help centre documents the feature under NotebookLM help.

Best for: a personal commute briefing when the document is already in Google's ecosystem.

3. Jellypod — AI podcast studio with publishing built in

Jellypod describes itself as an AI podcast studio that turns a topic, PDF, article, or your own notes into a complete episode, including AI-generated scripts, voices, and publishing to podcast platforms. It sits between a source-grounded generator and a full voice studio: you can feed it a document, but the product's emphasis is on producing and distributing a show.

Strengths: episode-level editing, recurring-show workflows, and distribution. Limits: it is aimed at people publishing podcasts, so an internal team that only needs a private briefing may be paying for publishing features it never uses.

Best for: marketing or thought-leadership teams that want to publish a regular show built from company reports.

4. ElevenLabs Studio — premium voices for a script you control

ElevenLabs is an AI audio platform whose Studio lets you create podcasts, audiobooks, and voiceovers in an editor built on its voice models. It is the strongest option on this list when the voice quality of the final product matters more than the summarisation step, for example an externally shared executive briefing or a branded internal series.

The trade-off: ElevenLabs narrates what you give it. You (or another tool) still have to turn the 40-page report into a script. Many teams pair a summariser with ElevenLabs for that reason.

Best for: teams with a writer or producer who wants control over every line, and a high bar for voice quality.

5. Wondercraft — audio and video ads, podcasts, and business media

Wondercraft positions itself as an AI studio for business-ready video, with podcast and audio-ad creation alongside. It is a fit when the same report needs to become several media formats for an external audience, and when you want a structured production workflow rather than a one-click summary.

Limits: like ElevenLabs, it is a production tool first, so the summarisation of a dense whitepaper is a step you will supervise closely.

Best for: communications and content teams producing polished external audio and video from company material.

Tools we checked and left out

Podcastle's former domain now redirects to Async, which presents itself as a chat-based AI video editor rather than a text-to-podcast tool, so it no longer fits this list. If you see older articles recommending Podcastle for document-to-podcast work, treat that advice as out of date.

How to turn a report into a podcast with Scholarly (step by step)

1. Open the AI podcast generator and sign in (the Free plan needs no credit card).
2. Upload the report PDF, paste the meeting notes, or drop in a link. Multiple sources can be combined in a project.
3. Choose what the episode should focus on, for example "the three recommendations and the risks behind each."
4. Generate. You get a three-speaker episode with a transcript, chapters, and citations.
5. Listen in the browser, share the episode by link with colleagues, or download the MP3 on a paid plan. For a deeper walkthrough of the work-document workflow, see how to turn work documents into an AI podcast.

How to choose

Ask three questions before you pick a tool.

Does the audio need to be faithful to the document? For regulated industries, sales claims, or anything a colleague might repeat to a customer, choose a source-grounded generator with citations (Scholarly, and to a lesser degree NotebookLM) over a pure voice studio.

Who is the audience? A private commute briefing for yourself favours the lowest-friction option. An onboarding series for every new hire favours a tool with shared libraries and team seats. A public show favours a publishing-oriented studio such as Jellypod.

What else do you need from the same document? If the answer is "only audio," any tool here works. If you also want knowledge checks, a narrated video, or a study guide from the same upload, a workspace that produces several artifact types saves rebuilding the source each time; the employee training use case shows how that looks in practice.

FAQ

Can AI really turn a 50-page report into a useful podcast?

Yes, provided the tool reads the document rather than improvising around its title. Look for a transcript with citations so you can verify any figure before relying on it. Expect the first episode to be a summary; if you need depth on one chapter, generate a second episode focused on that section.

Is it safe to upload confidential reports to these tools?

Check each vendor's data-handling terms and your own company's policy before uploading. For internal material, prefer a workspace with team plans and a shared library the company controls, and avoid consumer accounts where documents could mix with personal data.

What is the difference between an AI podcast and a text-to-speech reading?

Text-to-speech reads the document verbatim. An AI podcast rewrites it as a conversation, which is easier to follow on a commute and lets the hosts explain why a finding matters. The risk is drift from the source, which is why citations and a transcript are worth insisting on.

Try it on a real document

The fastest way to judge any of these tools is to upload a report you actually need to absorb this week. Scholarly's Free plan gives you one lifetime AI creation to do exactly that, with no credit card: start with the AI podcast generator, and if you want the whole team working from a shared library, see Scholarly for Teams.