ElevenLabs GenFM is a feature inside the ElevenReader mobile app that generates AI-powered podcasts from user-provided content. Unlike standard text-to-speech — which reads text aloud in a single voice — GenFM creates a two-host conversational podcast format where the AI co-hosts discuss, summarise, and contextualise the source material in a dialogue format that feels like a produced podcast rather than a reading.
The feature launched in November 2024 and is accessible on both iOS and Android within the ElevenReader app. Users upload or import content — PDFs, articles, ebooks, YouTube video URLs, or pasted text — and GenFM processes the content, generates a podcast script in dialogue form, and synthesises the audio using ElevenLabs’ ultra-realistic voice models. The entire process takes minutes for most content lengths.
ElevenLabs positions GenFM as a competitor to Google NotebookLM’s Audio Overview feature — both convert text sources into AI-generated two-host podcast conversations. ElevenLabs’ advantage is its superior voice model quality; Google NotebookLM’s advantage is integration with the broader Google ecosystem and access to more content source types through Google Drive.
How to Use GenFM
Step 1: Open ElevenReader
Download the ElevenReader app on iOS or Android from the App Store or Google Play Store. Create or log in to your ElevenLabs account. GenFM is accessible from the app’s main navigation under the GenFM or Podcast section.
Step 2: Add Your Content
GenFM accepts multiple content source types. Upload a PDF directly from your device — research papers, reports, ebooks, articles saved as PDF. Import a web article or blog post by pasting the URL — GenFM fetches and processes the page content. Upload an ebook file in supported ebook formats. Paste a YouTube video URL — GenFM processes the video transcript as the source content. Paste raw text directly into the input field for short-form content.
Step 3: Configure and Generate
Select the language for your podcast output — 32 languages are supported, allowing content in one language to be discussed by co-hosts in another. Choose from over a dozen AI co-host voices. Optionally customise the discussion style or focus area. Tap Generate — processing typically takes 2-5 minutes for standard-length content. The generated podcast appears in your ElevenReader library for immediate playback.
Step 4: Listen and Share
Play the generated podcast within ElevenReader alongside your other listening content. The podcast is saved to your library for replaying. Sharing options allow you to send the podcast link to others through the app’s sharing functionality.
What Makes the Conversation Sound Natural
GenFM’s key quality differentiator from simple text-to-speech is its conversational naturalness. Several specific features contribute to this. The co-hosts do not simply read the content sequentially — they rephrase, respond to each other’s points, ask questions, express mild surprise or agreement, and occasionally disagree. This dialogue structure creates the rhythm of actual podcast conversation rather than sequential text delivery.
ElevenLabs incorporates human-like conversational elements throughout the generated audio: natural pauses and thinking beats before responses, occasional ‘umm’ and ‘uh’ sounds at appropriate points, laughter where content is genuinely amusing or ironic, breathing sounds between sentences, and intonation variation that matches the emotional content of what is being discussed. The combination of these elements — produced through ElevenLabs’ voice models rather than added artificially — creates audio that listeners describe as surprising in its naturalness.
Related: For more on ElevenLabs voice quality technology, see our best AI voice generator guide 2026
GenFM vs Google NotebookLM Audio Overview
| Dimension | ElevenLabs GenFM | Google NotebookLM Audio Overview |
| Voice quality | ElevenLabs — best-in-class naturalness | Google TTS — good but less expressive |
| Platform | Inside ElevenReader app (iOS/Android) | NotebookLM web and mobile — export audio file |
| Language support | 32 languages for podcast output | English primary (limited multilingual) |
| Content sources | PDF, URL, ebook, YouTube, pasted text | Google Drive, PDF, web URL, pasted text |
| Google Drive integration | No | Yes — native |
| Output format | Streams in ElevenReader library | Downloadable audio file |
| Free availability | Yes — with limitations | Yes — with usage limits |
| Customisation | Voice selection, language choice | Limited voice options |
| Library management | Saves to ElevenReader listening library | Session-based — no persistent library |
| Best for | Listening-first workflow, ElevenReader users | Research workflow, Google ecosystem users |
The honest assessment: Google NotebookLM Audio Overview is better if your workflow is centred on Google Drive documents and research organisation. ElevenLabs GenFM is better if voice quality and a dedicated listening library experience are the priorities. Both are free to access for basic use. Neither is definitively superior across all dimensions — the correct choice depends on your primary workflow environment.
Best Use Cases for GenFM
Academic Research and Study
Students and researchers who need to consume large volumes of papers, reports, and academic content use GenFM to convert reading into listening. A 40-page research paper that would take 90 minutes to read becomes a 15-minute podcast that can be consumed during a commute or workout. The conversational format surfaces key points in a way that passive reading sometimes misses — the AI co-hosts naturally emphasise and question the paper’s most significant claims.
Professional Development and Industry Reports
Professionals who need to stay current with industry reports, competitor analyses, and sector research but lack time to read full documents use GenFM to convert reports into listenable content. A 60-page market research report becomes a 20-minute podcast summary that can be consumed in the car, at the gym, or during lunch. The podcast format also makes it easier to share insights with colleagues — send the generated podcast rather than a PDF attachment.
Language Learning Through Content
GenFM’s 32-language output creates a unique language learning use case: take content in your native language, generate a podcast in your target language, and listen to familiar content discussed in the language you are learning. The conversational format — with natural pacing, pauses, and conversational elements — provides a more authentic listening model than text-to-speech narration for language immersion.
Long-Form Article Exploration
Content creators and curious readers who maintain extensive reading lists of long-form articles use GenFM to explore content before committing to reading. A 5,000-word essay becomes a 10-minute podcast summary — if the discussion surfaces ideas that genuinely interest you, read the full article. If not, you have efficiently scanned the content without the time investment of full reading.
Three Insights Most GenFM Coverage Misses
1. GenFM Is ElevenLabs’ Answer to the Listening Habit
GenFM is not primarily a productivity tool — it is ElevenLabs’ play for daily listening time. Spotify, Apple Podcasts, and Audible capture hours of daily user listening. ElevenReader with GenFM captures listening time that would otherwise go to those platforms, with the unique value that every piece of content in your personal library can become a podcast. Users who build a habit around GenFM — converting their Pocket saves, newsletter subscriptions, and reading list into weekly listening — are spending time in ElevenReader every day rather than every occasionally. That daily engagement is ElevenLabs’ consumer retention mechanism.
2. The YouTube URL Support Is the Most Underused Feature
Most GenFM guides focus on PDF upload and article URL import. The YouTube URL support is the most interesting input type: you can take a long YouTube video — a 2-hour conference talk, a documentary, a long-form interview — paste its URL into GenFM, and receive a podcast-format discussion of the video’s content. This converts YouTube content that requires active screen watching into passive audio content that can be consumed anywhere. For researchers, educators, and professionals who follow YouTube channels with long-form educational content, this transforms their YouTube consumption from screen-bound to ambient.
3. The Multiple Source Combination Feature Changes the Research Workflow
ElevenLabs indicated plans to allow users to combine multiple sources for richer podcast content — feeding multiple PDFs, articles, or URLs into a single GenFM generation. When this is fully released, it enables genuine cross-source synthesis: feeding three competing analyses of the same topic into GenFM and receiving a podcast that discusses and synthesises all three perspectives simultaneously. This is the capability that would genuinely differentiate GenFM from single-source podcast generation and make it a research synthesis tool rather than a content conversion tool.
GenFM in 2027
GenFM’s development roadmap points toward expanded customisation (choosing discussion depth, tone, and focus areas), multi-source synthesis (combining multiple documents in one generation), and integration with ElevenLabs’ broader platform (linking GenFM podcasts to ElevenReader’s audiobook library and Studio projects). The language support will expand beyond 32 languages as ElevenLabs’ multilingual models improve. And the voice selection — currently over a dozen options — will expand to the full ElevenLabs voice library, enabling highly personalised co-host voice combinations.
Key Takeaways
- ElevenLabs GenFM converts PDFs, articles, ebooks, YouTube videos, and text into two-host AI podcasts in 32 languages — available free inside the ElevenReader app on iOS and Android.
- Voice quality is GenFM’s key advantage over Google NotebookLM — ElevenLabs’ conversational naturalness with pauses, laughter, and dialogue structure is consistently superior.
- Best use cases: academic research consumption, professional report briefings, language learning through familiar content, long-form article exploration.
- YouTube URL support is the most underused feature — converts long video content into ambient listening without screen requirement.
- Multi-source synthesis (combine multiple documents in one podcast) is the most anticipated upcoming feature.
Conclusion
ElevenLabs GenFM is the most accessible and highest-quality implementation of AI podcast generation from personal content available in 2026. The integration into ElevenReader creates a seamless path from content discovery to listening library without file downloads, format conversion, or platform switching. For students, professionals, and curious learners who consume significant volumes of text content, GenFM’s ability to convert that content into natural-sounding conversational podcasts represents a genuine improvement in how information can be consumed. Download ElevenReader, upload your most neglected long PDF, and listen — the quality of the output typically surprises first-time users.
Frequently Asked Questions
What is ElevenLabs GenFM?
A feature inside the ElevenReader app that converts uploaded content — PDFs, articles, ebooks, YouTube videos, and text — into AI-generated podcasts with two conversational co-hosts. Available free with limitations on iOS and Android.
How does GenFM differ from Google NotebookLM?
GenFM uses ElevenLabs’ superior voice models for more natural-sounding conversation, streams within the ElevenReader listening library, and supports 32 output languages. NotebookLM integrates with Google Drive and exports downloadable audio files. Both are free for basic use.
What content types does GenFM support?
PDFs, web article URLs, ebook files, YouTube video URLs (processed from transcript), and pasted text. ElevenLabs plans to add multi-source combination for synthesising multiple documents in one podcast.
Is GenFM free?
Yes — GenFM is available free with usage limitations in the ElevenReader app. ElevenReader paid tiers provide higher generation limits and additional features.
What languages does GenFM support?
32 languages for podcast output. Content uploaded in one language can be discussed by co-hosts in a different target language — useful for language learning and multilingual content exploration.
Methodology
GenFM features from ElevenLabs official GenFM Product Hunt listing (November 2024) and TestingCatalog review. Language support and content source types from AIBase GenFM feature overview. Voice quality comparison from editorial team testing and ElevenLabs official voice model documentation. NotebookLM comparison from Google NotebookLM official documentation. ElevenReader integration from ElevenReader App Store listing and Google Play Store listing. This article was drafted with AI assistance and reviewed by the editorial team at ElevenLabsMagazine.com.
References
ElevenLabs. (November 2024). ElevenLabs GenFM Product Hunt. https://www.producthunt.com/posts/elevenlabs-genfm
TestingCatalog. ElevenLabs launches GenFM. https://www.testingcatalog.com/elevenlabs-launches-genfm-to-turn-user-content-into-ai-powered-podcasts
ElevenLabs. (2026). ElevenReader App Store listing. https://apps.apple.com/us/app/elevenreader-read-books-aloud/id6479373050
