| ▲ | Show HN: Use your OpenAI subscription to create audiobooks(pdftomp3.com) |
| 85 points by janpmz 4 hours ago | 49 comments |
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| ▲ | subless 10 minutes ago | parent | next [-] |
| I love using https://convert.to.it/ for all of my converting needs; everything is client-side in the browser with over 400 file extension options to choose from. Source: https://github.com/p2r3/convert |
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| ▲ | x______________ 3 hours ago | parent | prev | next [-] |
| Is "paste your OpenAI API key" the new form of "paste your credit card number with exp/code" for example, to check if its been compromised? |
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| ▲ | xenocratus 3 hours ago | parent | prev | next [-] |
| I did something very similar to this, for myself, but which takes a web page for an article, cleans up the text to preserve the article only, and converts it using TTS, then adds it to a cloud bucket with an RSS stream, and I use that RSS link as a podcast in Apple Podcast. |
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| ▲ | kolinko an hour ago | parent | next [-] | | I do similar things, just use ElevenLabs for tts - a good selection of voices. A good protip - tell an agent to rewrite the article slightly for better listening flow. Some subtle changes in sentence structure etc can make listening way more pleasant. | |
| ▲ | BeetleB 29 minutes ago | parent | prev | next [-] | | Same here. https://blog.nawaz.org/posts/2024/Apr/reading-articles-via-p... I use the TTS on Google Cloud. It's effectively free. | |
| ▲ | sebzim4500 2 hours ago | parent | prev | next [-] | | What TTS do you use? I find the OpenAI ones really unpleasant to listen to and elevenlabs is better but still not quite right somehow. | | |
| ▲ | kingforaday an hour ago | parent [-] | | Try fish.audio - their S2 Pro has been very decent. The S2.1 Pro might be better but haven't had a chance to try it. |
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| ▲ | robot_jesus 3 hours ago | parent | prev | next [-] | | Oh man. I did something similar but didn’t do the last mile with the cloud bucket and RSS stream and that seems key. I never have the energy to manually copy the mp3s over to the phone. | | |
| ▲ | cj00 an hour ago | parent | next [-] | | I did something similar and just put the files on an old laptop and used Tailscale. That gives me an https URL and Apple Podcasts downloads the files fine. | |
| ▲ | exe34 2 hours ago | parent | prev | next [-] | | I have syncthing, I just copy a file into the shared folder. | |
| ▲ | janpmz 3 hours ago | parent | prev [-] | | I did both of that too! At the end I made my own app to listen to the episodes. |
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| ▲ | brumar 2 hours ago | parent | prev | next [-] | | Same here. 75% of my podcast listening time come from content generated by claude and voxtral these days (tts from mistral). | |
| ▲ | sgallant 40 minutes ago | parent | prev | next [-] | | RSS -> Apple podcast. Love it! | |
| ▲ | _ink_ 3 hours ago | parent | prev [-] | | Sounds great! Any interest in open sourcing your approach? |
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| ▲ | cj00 14 minutes ago | parent | prev | next [-] |
| How well does it handle pronunciation, especially of things like proper nouns? This has been one of the harder parts I've found. On a financial web site I saw one example where the generated audio pronounced initiates as a noun instead of a verb. It's a subtle difference but can significantly change the meaning if worded wrong. I was trying to use TTS to regenerate some old audiobooks and getting names pronounced correctly is pretty hard unless the model supports something like SSML. |
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| ▲ | amaldavid an hour ago | parent | prev | next [-] |
| It was always harder to get it to sound right, I had built Lissin around this thesis itself. You can throw in a PDF or a link and can get a podcast, deepdive or just narration with different voices in Lissin. For those interested in better voices, you can try and let me know. https://apps.apple.com/app/apple-store/id6758897526?pt=12810... |
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| ▲ | lifeisloving an hour ago | parent [-] | | If someone sends me AI generatef audio they're reccomending, I from then on out see them differently and not in a good way. I dont even want to read the outputs of an LLM let alone listen to them. Wild. | | |
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| ▲ | hirako2000 37 minutes ago | parent | prev | next [-] |
| This trend to sell subscription with a price for "credits". For a wrapper around costly LLM providers. For a result one could get with voicebox for free. |
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| ▲ | brunorsini 3 hours ago | parent | prev | next [-] |
| Cool! Curious to hear a sample. As any regular audiobook listener knows, having a great narrator is really key. |
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| ▲ | exolab an hour ago | parent | prev | next [-] |
| You can build that with Claude in 2-3 hours. Not sure how this is a business idea. |
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| ▲ | embedding-shape 3 hours ago | parent | prev | next [-] |
| > Use the AI you already pay for I thought this would mean I could use my subscription, as OpenAI/Codex supports this kind of authentication flow, and it's very easy to integrate with that as a service, and users login with the OpenAI authentication flow, or via device codes. Instead this asks for an API key, which is very different from "Use your OpenAI subscription" and to be honest, I'm not sure how anyone who has a OpenAI subscription could mistake this for such. Has this even been tested once? Maybe I missed something obvious, I had a five second look and closed it when it seemed to be outright intentionally misleading. |
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| ▲ | scrollop an hour ago | parent | next [-] | | The title is misleading - should be "Use your openai subscription AND a TTS api key" Much less interesting. | |
| ▲ | janpmz 3 hours ago | parent | prev | next [-] | | There are two parts to the processing. The processing of the document itself is done on your OpenAI/Codex subscription. Additionally, you have to submit an API key for the text-to-speech processing. There you can use a Gemini key or an OpenAI key. | |
| ▲ | wastewastewaste 3 hours ago | parent | prev [-] | | title literally says "Use your OpenAI subscription to create audiobooks" so im also confused lol edit:
i guess this explains it, its sorta half half Your subscription will be used for: document processing (via MCP)already paid by your subscription
Your API key will be used for: generating speechOpenAI charges per usage
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| ▲ | jaccola 3 hours ago | parent | prev | next [-] |
| Looks cool but how on earth does your demo video not show a sample of the result?! It ends right before the exciting part. Madness! |
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| ▲ | ph4rsikal 3 hours ago | parent | prev | next [-] |
| Great work, op.
I have also had good experiences with Qwen3-TTS.
Might be worthwhile to explore for everyone who wants to do longform locally. |
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| ▲ | janpmz 3 hours ago | parent [-] | | Thanks! Currently, I'm using Gemini TTS and Kokoro TTS as a free option. Kokoro is fast and I can run it on my own server, but I'm not using it as a standard yet because Gemini supports more languages and has more voices available. But text-to-speech processing is the biggest bottleneck at the moment. |
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| ▲ | laylower 3 hours ago | parent | prev | next [-] |
| What prevents someone submitting an epub or a pdf and ask claude or another llm to narrate a novel in morgan freeman's voice? |
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| ▲ | AbsurdCensor 3 hours ago | parent | next [-] | | At home this is super easy, use one of the multiple TTS models out there and provide a clean clip of Morgan Freeman's voice. Typically around 10 seconds will do. I just run a python script to daily scan my FreshRSS sources, compile my news and generate a 'podcast' that's about 10 minutes for a morning listen. Currently using F5-TTS, but there are lot's of other models out there as well. | | |
| ▲ | properbrew 2 hours ago | parent [-] | | > Currently using F5-TTS Thanks for listing the model you're using, I've not really done any TTS stuff and this sounds like a fun thing to spin up. |
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| ▲ | springtimesun 3 hours ago | parent | prev [-] | | Claude has gotten pretty sensitive to copyright. In addition to the no song lyrics that was posted in another article, I also find it will not generally transcribe podcasts (you have to play with model versions and even effort inside that). | | |
| ▲ | KellyCriterion 3 hours ago | parent [-] | | Couple of weeks ago it refused to cite one of the public available EU-text from their gov site to me |
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| ▲ | matthorse 3 hours ago | parent | prev | next [-] |
| How well does it handle larger files? And other book formats, like epub or mobi? I'd love to see an actual result what it can do |
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| ▲ | abel0x 2 hours ago | parent | prev [-] |
| how does it handle weird formatting in pdfs like tables or image captions? i always get trash output when doing pdf text extraction. |
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| ▲ | janpmz 2 hours ago | parent [-] | | It handles the formatting of scientific papers very well. E.g. I can exclude footnotes etc. But I didn't test it much with tables yet. | | |
| ▲ | flatline 11 minutes ago | parent | next [-] | | I went the route of handling epub first (really, anything pandoc can convert to epub) on ebookaloud, and it took quite a few iterations to get consistent parsing across a wide corpus of test documents. My experience is that gathering and testing with that corpus was about 30% of the overall effort. I have not yet gathered the motivation to tackle pdf: it’s more of a layout format than a text format. Not just tables but multi-column layouts and similar oddities leave a pile of imperfect heuristics in their wake. Multi-lingual support is even worse. I was working with arabic script in pdf years ago and they don’t even capture the encoded text, just rendering instructions due to the high number of ligatures. I don’t know if things have improved since then. | |
| ▲ | abel0x an hour ago | parent | prev [-] | | makes sense, tables in pdfs are a nightmare anyway. cool project. |
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