Answers
What Lissin does with a document you already have, how it compares with the tools people weigh it against, and what a recurring show looks like set up for a specific job.
Turn documents into audio
What Lissin does with a file you already have — a report, a deck, a set of notes, a paper — and how to get it out of the tool it lives in.
Turn a Notion page into an audio show
Export the Notion page with Export → PDF, include subpages if you want the whole tree, then upload the file to Lissin and describe the show you want from it. Lissin reads the text layer, writes a script, and narrates it. Toggles export collapsed, so open them first.
Turn Obsidian notes into an audio show
Obsidian’s Export to PDF turns one note into a file Lissin can read. For a folder, use the Pandoc or Webpage HTML plugin to produce a single HTML file first. Upload it, say what kind of show you want, and Lissin writes and narrates it.
Turn a Google Doc into an audio show
File → Download → PDF Document or Microsoft Word (.docx), then upload the file to Lissin and describe the show. Both formats carry the full text layer. Accept or reject tracked suggestions first: DOCX exports them as live revisions and the narration can end up reading both versions of a sentence.
Turn a PDF into an audio show
Upload the PDF and describe the show you want from it. Lissin pulls the text layer directly from a born-digital PDF; if there is barely any text — a scan, a photographed document — it escalates to vision-based OCR automatically. You do not choose between the two.
Turn a PowerPoint deck into an audio show
Upload the .pptx and describe the show. Lissin reads slide text and speaker notes together, which matters more than anything else here: a deck is a set of headlines, and the argument connecting them usually lives only in the notes. A deck without notes narrates as a list.
Turn a Word document into an audio show
Upload the .docx or .doc and say what the show should be. Lissin reads the document’s text and heading structure, writes a script, and narrates it. Accept or reject tracked changes first — an unresolved revision can be read as both the old and the new sentence.
Turn a spreadsheet into an audio briefing
Upload the .xlsx and ask for an interpretation, not a reading. Lissin reads the cell values and sheet names; a script that narrates rows is unusable, but one that answers ‘what moved, by how much, and what is the likely reason’ is a genuinely useful two minutes.
Turn research papers into an audio show
Download the paper’s PDF and upload it, then ask for the level you want: the result and why it matters, the method in detail, or the argument against it. Several papers uploaded together produce a comparison episode, which is the version worth making.
Turn an SEC filing into an audio briefing
Paste the EDGAR link, or upload the filing as PDF, then name the sections you care about — risk factors, MD&A, the segment tables. A 10-K read start to finish is four hours of boilerplate; a briefing on the parts that changed is fifteen minutes.
Turn Markdown and HTML files into an audio show
HTML is read natively, so the reliable path for Markdown is to render it to HTML first — any static site generator, a Markdown editor’s export, or your browser’s Save Page As on the rendered version. Upload the HTML file and describe the show.
Turn newsletter issues into an audio show
Paste the links to the issues you have not read, or save them out of your inbox as HTML or PDF, then ask for a round-up rather than a reading. Six unread issues become one twelve-minute episode about what actually happened across them.
Turn a reading backlog into an audio show
Export or save the saved articles as HTML or PDF, upload them together, and ask what connects them. A read-later queue is not a reading list, it is forty tabs of one recurring interest, and one episode about that interest is more useful than forty narrations.
Turn meeting notes into an audio catch-up
Export the notes or transcripts as DOCX or PDF, upload the week together, and ask for decisions and open questions rather than a summary. The output is a catch-up for the meetings you missed, which is the only version of this worth listening to.
Turn textbook chapters into an audio study show
Upload the chapter PDF and ask for teaching rather than reading: the idea explained, then a worked example, then the questions an examiner would ask. Scanned chapters go through OCR automatically, so a photographed page works.
Compared with other tools
Honest comparisons against the read-aloud apps, summary apps and audio generators people weigh Lissin against, including where they win.
Lissin as a Speechify alternative
Speechify is a read-aloud tool: it speaks the text in front of you, in order, in a voice you choose. Lissin is a show generator: it reads the document, writes a script about it, and narrates that. If you need the exact words, Speechify is the right tool. If you need the substance on a walk, Lissin is.
Lissin as an ElevenReader alternative
ElevenReader is built around voice quality: you give it text and it narrates that text, very well. Lissin’s unit is the show — it decides what to say about your source, structures it, and then narrates. You are choosing between a better reading of your document and a different artefact made from it.
Lissin as a NotebookLM Audio Overview alternative
NotebookLM’s Audio Overview turns the sources in a notebook into a conversational summary, and it is genuinely good at it. Lissin is built around the show rather than the notebook: you specify format, tone, length and voice, it keeps a library, and a show can recur on a schedule.
Lissin as a Blinkist alternative
Blinkist is a curated catalogue: professionally condensed non-fiction titles, chosen and produced in advance. Lissin has no catalogue in that sense — you describe what you want to hear about and it is made, which is a better fit for subjects nobody has published a summary of.
Lissin as an alternative to book-summary services
Summary services — Shortform, getAbstract, Headway and the rest — condense a fixed catalogue of published books, edited by people. Lissin generates a show on a subject you describe or a document you upload. The catalogue wins on the titles it holds and cannot help with anything outside them.
Lissin as a NaturalReader alternative
NaturalReader is a text-to-speech application: documents in, spoken words out, across desktop and mobile with control over voice and speed. Lissin takes the same documents and produces a written, structured show about them. The question is whether you want the document spoken or explained.
Lissin alongside a podcast app
Lissin is not a podcast player and does not replace one: it will not subscribe to an RSS feed or play the shows you already follow. It makes shows that do not exist yet, for one listener, on subjects a general audience would never sustain a podcast about.
Lissin as a Snipd alternative
Snipd sits on top of podcasts that exist: it finds the good parts, clips them, transcribes them and helps you keep them. Lissin produces episodes that do not exist yet. If your problem is too much podcast to get through, Snipd is the right tool; if it is that nobody makes the show you want, Lissin is.
Daily briefings by role
What a recurring Lissin show looks like when it is set up for a specific job, and the prompt that produces it.
A daily AI engineering briefing
Describe a recurring show on model releases, evaluation results and inference tooling, ask it to lead with anything that changes how you would build something this week, and set it to run each weekday morning. Lissin researches the open web on each run and produces a ten-minute episode.
A daily briefing for a startup founder
Describe a recurring show naming your market, your three closest competitors and the customer you sell to, and ask it to open with anything a customer or an investor might raise with you this week. Ten minutes, weekday mornings, researched fresh on each run.
A daily briefing for a product manager
Describe a recurring show on your product category and the companies shipping into it, asking for what shipped and what it implies rather than what was announced. The stronger companion is a weekly upload of your customer-call transcripts, asked for what changed in what people want.
A daily briefing for a software engineer
Describe a recurring show naming the languages, frameworks and infrastructure you actually run, and ask for breaking changes, security advisories and migrations first. Scoped that way it is five minutes; described as ‘software engineering news’ it is an unlistenable survey.
A daily briefing for an investor
Describe a recurring show naming the sectors and companies you follow, asking for what moved and the argument on both sides of why. The uploads are the stronger half: two years of a company’s filings with ‘what changed in the language’ is an episode nobody writes.
A daily briefing for a security analyst
Describe a recurring show naming your stack and the threat categories you care about, asking for exploited-in-the-wild issues first and background second. This is context and orientation, not alerting: it must never be the mechanism by which you learn about an active vulnerability.
Or just listen to something
The whole library plays in the browser with no account. It is the fastest way to judge whether any of this is for you.
