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Notebooklm Vs Jellypod Vs Podcastify Turn Newsletter Into Podcast Gemini Notebook Audio Overview Ai Podcast Tools 2026 Podcast Rss Feed Generator

NotebookLM can't publish to Spotify. We tested it against Jellypod and Podcastify to find which one actually turns a newsletter into a real podcast (2026).

A newsletter writer feeds twelve issues into NotebookLM, hits generate, and gets back a genuinely natural 12-minute conversation between two AI hosts riffing on the content. It sounds better than expected. The next step — find the “publish to Spotify” button — turns up nothing, because that button does not exist.

That gap matters more than it looks. Google renamed NotebookLM to Gemini Notebook in July 2026, but the rename changed nothing about the tool’s job: it was never built as a podcast host. Getting a show that listeners can actually follow onto Spotify or Apple requires a real RSS feed — and that’s where NotebookLM (Gemini Notebook), Jellypod, and Podcastify diverge sharply.

The short version: NotebookLM (now Gemini Notebook) is free and the best place to test whether an AI-hosted audio version of a newsletter is worth pursuing at all, but it publishes nowhere on its own. Jellypod, at roughly $47/month for its Creator plan billed annually, is the stronger pick for anyone who wants voice cloning and a polished, multi-platform push to Spotify, Apple, and YouTube. Podcastify, at around $8/month, is the cheapest route to an actual working RSS feed. Anyone not yet running a newsletter to convert should start there — see starting a Substack newsletter — before any of this becomes relevant.

Why “which AI podcast tool” is the wrong first question

The real decision isn’t about AI podcast tools generically. It splits into two separate problems: production and distribution.

Production — turning text into a listenable two-host conversation — is solved, and it’s free. NotebookLM handled that part well enough that it became most people’s reference point for what “AI podcast” even means.

A poster in r/SaaS described the current baseline bluntly: “Most people’s mental model for ‘AI podcast’ right now is NotebookLM’s Audio Overview: two hosts, a few minutes, generated from your own docs, capped by a daily limit, no easy way to publish it anywhere.”

Distribution — getting that audio into a feed that Spotify, Apple Podcasts, and YouTube can actually index and that listeners can subscribe to — is still a paid problem. That’s the part NotebookLM never touches, and it’s the part every dedicated tool in this comparison is built around.

NotebookLM vs Jellypod vs Podcastify: the comparison

NotebookLM (Gemini Notebook)JellypodPodcastify
Real RSS feedNoYes, plus auto-submit to Spotify, Apple, YouTube, Amazon MusicYes, included
Voice cloningNoYesNot confirmed — verify at signup
Pricing after free/trialFree: 3 Audio Overviews/day. Google AI Pro at $19.99/mo raises the cap to 20/day but is bundled, not a standalone podcast plan$25/mo Starter (annual, publishing limits) or $47/mo Creator (annual, no limits, no watermark)$8/mo or $80/yr Hobby plan, 270,000 TTS characters/month
Source inputUploaded docs, links, PDFsDocs, URLs, RSS importPasted text, URLs, PDFs, images
Ease of publishingManual download only — no automated feedOne-click submission to major platformsFeed included, submission still manual to each app

Pricing and feature details reflect what’s publicly listed as of late 2026 and should be confirmed on each provider’s site before subscribing, since AI podcast tools have shipped fast changes to their plans this year.

NotebookLM (now Gemini Notebook): the free sandbox, not the platform

Google renamed NotebookLM to Gemini Notebook on July 16, 2026. The underlying Audio Overview feature didn’t change — same product, new name, presumably folded further into the Gemini brand.

The free tier allows three Audio Overviews per day, in four formats: Deep Dive (the two-host conversational style most people picture), Brief (a single speaker, under two minutes), Critique, and Debate. Generated episodes run up to roughly 30 minutes.

The tool is explicitly RAG-based — it answers from the sources it’s given and nothing else. A contributor in r/notebooklm made the constraint explicit: “NotebookLM is a RAG. It is not supposed to look outside the sources provided.” That’s a feature for a newsletter-to-podcast use case, since it keeps hosts from inventing claims that weren’t in the original issue. It’s also the reason NotebookLM will never grow a publishing feature — sourcing fidelity, not distribution, is the whole design brief.

Without an RSS feed, getting a NotebookLM episode anywhere near Spotify means downloading the audio and manually uploading it as a one-off. A Hacker News commenter described doing exactly that: “I decided to turn my philosophy class’s readings into ‘podcasts’… I even uploaded it to Spotify to share with classmates.” That works for a single episode shared with a known audience. It does not produce a feed anyone can subscribe to and get automatically notified about the next one.

Repeat use also has a documented ceiling. Another Hacker News commenter put it plainly: “impressive the first time… with subsequent runs it’s evident how formulaic it is… a neat party trick at the moment.” For testing whether audio is worth the effort at all, that’s an acceptable tradeoff. For a weekly show meant to retain listeners, formulaic hosts are a real liability.

Jellypod: the closest thing to a full AI podcast studio

Jellypod is built as a complete production and distribution studio, not a single-feature generator. It includes script editing, voice cloning, a hosted show website, and a compliant RSS feed with automatic submission to Spotify, Apple, YouTube, and Amazon Music.

Pricing runs $25/month for the Starter tier (billed annually, with publishing limits) and $47/month for Creator, which removes those limits and drops the watermark. Sources disagree on whether Jellypod currently runs a genuine free plan or only a time-limited free trial requiring a card — that detail should be confirmed directly on Jellypod’s pricing page before committing.

Voice cloning is Jellypod’s headline differentiator against Podcastify, and it’s also where the tool’s biggest weakness shows up. Forbes’ 2024 review of AI voice-cloning tools found the output could slip into “uncanny valley” territory — close enough to convincing that the small imperfections become more noticeable, not less. That’s a known tradeoff of cloned voices generally, not a defect unique to Jellypod, but it’s worth hearing a sample episode before paying for the Creator tier specifically to use that feature.

Podcastify: the cheapest way to a real feed

Podcastify’s workflow is close to what most newsletter writers actually want: paste in the newsletter text or its URL, review the generated two-host transcript, and get an MP3 back in under two minutes.

The Hobby plan runs $8/month or $80/year, includes 270,000 TTS characters monthly, and offers more than 20 voice options. An RSS feed is included in the base plan — the one feature that puts Podcastify ahead of NotebookLM on the distribution question that actually matters here. The 7-day trial requires a card up front.

Voice cloning is not confirmed as a current Podcastify feature and should be verified directly before assuming it’s available — this is the one place Jellypod has a clear edge if cloning is the priority.

One practical warning: there are multiple similarly named products in this space — podcastify.io, usepodcastify.com, and podcastified.com. Confirming the exact URL before signing up avoids paying for the wrong tool entirely.

Wondercraft: worth a mention, not the default pick

Wondercraft offers voice cloning plus one-click RSS publishing to Spotify, Apple, and YouTube, positioning it closer to Jellypod’s feature set than Podcastify’s. Reported pricing sits in the $21–29/month range, though sources conflict on the exact figure and it should be verified at signup. The free tier is reportedly limited to around six credits per month — enough to sample the output, not enough to run a real show.

Wondercraft is a reasonable alternative to Jellypod specifically for creators who prefer its voice-cloning quality after testing both. It is not a reason to skip the Jellypod-vs-Podcastify decision that determines most of this choice.

Turning newsletter copy into a script that doesn’t sound like a robot reading an email

Newsletter text is written for the eye. Podcast scripts need to work for the ear, and that gap causes most of the “this sounds like AI” reaction listeners report.

A few edits close most of that gap before feeding text into any of these tools:

  • Cut inline links. A hyperlink read aloud as “click here” or a raw URL breaks the flow instantly.
  • Spell out numbers and acronyms. “47%” and “AI SDK” render awkwardly through TTS; “forty-seven percent” and “A-I S-D-K” or the expanded phrase read cleaner.
  • Add a spoken intro line. Newsletters open with a subject line and preview text; a podcast needs an actual verbal cold open.

Show notes are a related, often-skipped step — a text summary and timestamps that make the episode findable and skimmable on the platform page. The mechanics are covered in how to write podcast show notes.

What these tools actually cost once the trial or free tier runs out

None of these three products are free once an actual publishable, followable feed is the goal. The comparison at the tier that gets a real feed live:

  • NotebookLM / Gemini Notebook: Free forever for generation, but $0 buys zero distribution. The $19.99/month Google AI Pro tier raises the daily generation cap — it does not add a feed.
  • Podcastify: $8/month or $80/year for a working RSS feed and 270,000 TTS characters.
  • Jellypod: $25/month Starter (limited) or $47/month Creator (full features, no watermark) for feed plus voice cloning plus multi-platform auto-submit.
  • Wondercraft: Roughly $21–29/month, reportedly, for a comparable feature set to Jellypod — confirm current pricing before deciding.

The pattern across all three paid options: the free tier or trial is there to prove the concept works, not to run the show long-term.

The polish problem: why even a “publishable” AI podcast can still sound like AI

Getting past the distribution problem doesn’t solve the reception problem. AI-hosted podcasts have developed a specific, recognizable sound, and podcast-focused communities have noticed.

A commenter in r/podcasts didn’t mince words: “At this point I have a physical reaction to hearing the phrase ‘welcome to the deep dive’. It’s bloody awful.” Another in r/podcasting went further: “I can’t imagine anyone wanting to use this… Anybody telling you that this is going to ‘revolutionize podcasting’ is a big fat liar and maybe a grifter.” A Hacker News commenter made the same point about the format itself: “Yeah they perfectly recreated the annoying useless podcast chat format!”

That reaction is a real risk for anyone converting a newsletter with an established, trusted voice into synthetic-sounding audio. Cleaning up the raw generated audio — removing awkward pauses, normalizing levels, smoothing transitions — helps but doesn’t fix scripted-sounding dialogue. Tools built for that layer are covered in AI audio-cleanup tools like Auphonic and Cleanvoice, and they’re worth running regardless of which generation tool produced the raw file.

Spotify itself hasn’t introduced a formal AI-disclosure label for podcasts the way it has for music. Its current policy bans deceptive or impersonation use of AI voices and, as of 2026, adds creator verification badges — a signal that platform trust, not just audio quality, is becoming part of the equation for AI-hosted shows.

After generating the audio, there’s still nowhere to put it

A NotebookLM Audio Overview downloaded as a raw file has exactly zero hosting behind it — no feed, no episode page, no way for a listener to subscribe. Jellypod and Podcastify both bundle a basic RSS feed into their plans, which is the entire reason either is worth paying for over NotebookLM.

A basic bundled feed is usually enough at launch. A show that grows past a handful of episodes typically outgrows it — better analytics, dynamic ad insertion, and more flexible episode management become worth a dedicated host. That transition point is covered in Buzzsprout vs Transistor for hosting your new podcast feed.

For creators repurposing a podcast back into clips, newsletters, or social posts once it exists, the broader toolkit is mapped out in best AI podcast repurposing tools for solo podcasters.

Our take: who should actually pick what

The evidence points to a fairly clean split by intent rather than a single universal winner.

Anyone unsure whether an audio version of their newsletter is even worth the effort should start with NotebookLM’s free tier, generate two or three test episodes, and listen to them critically — specifically for the formulaic-sounding repetition flagged on Hacker News. That test costs nothing and answers the real question before any money is spent.

The cheapest path to an actual followable, indexed feed is Podcastify at $8/month. For a newsletter writer just trying to get episodes live on Spotify and Apple without extra production overhead, that’s the rational default.

Voice cloning and a genuine second distribution channel — not just a feed, but branded, multi-platform, no-watermark publishing — point to Jellypod’s $47/month Creator tier specifically, not the $25 Starter tier, since Starter’s publishing limits undercut the reason to choose Jellypod in the first place.

Wondercraft is worth a look only for creators who test its voice cloning against Jellypod’s and prefer the result. It doesn’t offer enough differentiation otherwise to justify skipping the Jellypod-vs-Podcastify decision.

Frequently Asked Questions

Why can’t a NotebookLM Audio Overview be published to Spotify or Apple Podcasts directly?

NotebookLM has no RSS feed generation built in. The only way to get an episode onto Spotify is a manual, one-off upload of the downloaded file — there’s no automated, updating feed that platforms can index as an ongoing show.

What’s the cheapest way to turn a newsletter into a followable podcast?

Podcastify, at about $8/month, includes a real RSS feed in its base Hobby plan. The 7-day trial requires a card on file, so it’s worth setting a reminder to cancel if the test episodes don’t land.

Do AI podcast hosts need a real voice, or can they work without sounding fake?

All three tools generate fully synthetic voices — there’s no option for a natural human host in any of them. Jellypod and Wondercraft both offer voice cloning specifically, but Forbes’ 2024 testing found cloned voices can land in “uncanny valley” territory. Setting expectations around that before committing to a plan avoids disappointment.

How much do Jellypod, Podcastify, and Wondercraft cost after the trial ends?

Jellypod runs $47/month for the full-featured Creator tier or $25/month for the limited Starter tier, both billed annually. Podcastify is about $8/month. Wondercraft is reportedly $21–29/month, though that figure should be confirmed directly since sources conflict. All three gate their trials behind a card.

Is it worth adding a podcast feed to a newsletter that’s already doing fine as text?

Only if there’s a real plan to keep producing episodes and the free NotebookLM test comes back sounding genuinely listenable, not formulaic. Community sentiment in r/podcasts and r/podcasting shows real backlash against generic AI-hosted shows, so testing critically before paying for distribution matters more than skipping straight to a paid tool.

The real decision starts after the free test

NotebookLM, now Gemini Notebook, made podcast production free. It did nothing for distribution, and that’s still an $8-to-$47-a-month decision between Podcastify and Jellypod, with Wondercraft as a narrower third option for voice-cloning preference.

The practical next step: generate two or three free test episodes in NotebookLM first, listen with the formulaic-repetition problem specifically in mind, then move to Podcastify for the cheapest real feed or Jellypod’s Creator tier for voice cloning and multi-platform push.

The AI hosts will happily say “welcome to the deep dive” on every single episode forever — whether anyone keeps listening is still entirely up to what actually gets put in the script.

References

  • Reddit, r/SaaS — comment describing NotebookLM’s Audio Overview as the default mental model for “AI podcast”
  • Reddit, r/notebooklm — comment on NotebookLM’s RAG-based design constraint
  • Hacker News — comment on manually uploading a NotebookLM-generated podcast to Spotify for a class
  • Hacker News — comment on NotebookLM output becoming formulaic on repeated use
  • Reddit, r/podcasts — comment on fatigue with the “welcome to the deep dive” intro phrase
  • Reddit, r/podcasting — comment dismissing AI-podcast hype claims
  • Hacker News — comment describing the AI two-host podcast format as “annoying” and “useless”
  • Forbes (2024) — review of AI voice-cloning tools noting “uncanny valley” quality issues
  • Google — NotebookLM renamed to Gemini Notebook, July 16, 2026
  • Spotify — platform policy on AI-generated voices and 2026 creator verification badges

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