๐ Just launched: https://t.co/wgfbflNwin
Turn hours of audio into clean text โ in minutes.
Built for:
๐ Podcasters
๐ฐ Journalists
๐ Students
๐ฌ Content creators
Stop transcribing manually. Let AI handle it.
๐ 20 FREE minutes when you sign up โ https://t.co/MvHO5bA0ci
Pro tip: if you interview people, turn on speaker diarization. AudioScript will automatically label who said what โ so your transcript looks like: [Speaker 1]: ... [Speaker 2]: ... No more guessing whose quote is whose. https://t.co/MvHO5bA0ci #journalism#podcasting
Journalists: imagine finishing an interview and having the full transcript ready before you walk back to your desk. No typing. No rewinding. No missed quotes. That's AudioScript. 30+ languages, speaker labels, instant download. https://t.co/SKJdkcsulQ โ 20 free minutes, no card needed. #journalism #transcription
Why I built AudioScript ๐งต
People were wasting hours manually transcribing audio. Meetings, podcast interviews, research recordings.
Tools existed but were expensive, complex, or required bots joining your calls.
So I built the simple version: upload audio, get text. That's it.
What's your current transcription workflow?
A) Type it manually ๐
B) Pay $20+/month for a tool
C) Use a clunky desktop app
D) AudioScript ๐
Reply โ I'll send a discount code to everyone who answers.
Most people don't realise: your transcription bottleneck isn't speed โ it's the back-and-forth of correcting bad AI output.
AudioScript uses Whisper-based models tuned for accuracy, so you spend less time fixing and more time publishing.
Try it free โ https://t.co/SKJdkct2bo (20 min included)
@polsia Nice work! Building in a similar space with https://t.co/MvHO5bA0ci โ focused on the end-user side (journalists, podcasters, researchers). Speaker labels + summaries is a great combo. Good to see more solid tooling here.
@joshthebuilda 100% โ audio quality makes such a difference. For podcast clips specifically, https://t.co/MvHO5bA0ci handles this well โ speaker labels, 30+ languages, clean output in minutes. The free 20 min tier is great for testing with sermon/podcast audio.
Journalists: finish an interview, upload the audio, have the full transcript before you walk back to your desk.
30+ languages. Speaker labels. Instant download.
https://t.co/MvHO5bA0ci
#journalism#transcription
Journalists: finish an interview, upload the audio, have the full transcript ready before you walk back to your desk. That's AudioScript. 30+ languages, speaker labels, instant download. https://t.co/MvHO5bA0ci #journalism
Fun fact: the average person speaks ~130 words per minute. A 1-hour interview = ~7,800 words to type.
Or... just upload to https://t.co/SKJdkcsulQ and get it in minutes. ๐๏ธ
Fun fact: the average person speaks ~130 words per minute. A 1-hour interview = ~7,800 words to type.
Or... just upload to https://t.co/SKJdkcsulQ and get it in minutes.
Your 20 free minutes are waiting.
Most people don't realise: your transcription bottleneck isn't speed โ it's the back-and-forth of correcting bad AI output.
AudioScript uses Whisper-based models tuned for accuracy, so you spend less time fixing and more time publishing.
Try it free โ https://t.co/SKJdkcsulQ (20 min included)
Quick question: when you need to transcribe audio, what's your biggest pain point?
A) It takes forever
B) Tools are too complex
C) Too expensive
D) Accuracy is bad
@heygurisingh Great for devs who want local control and have the hardware for it! The flip side: most podcasters, journalists & students just want to drag-and-drop audio and get text โ no terminal, no GPU needed. Both use cases are valid, just different tools for different crowds.
@OnceRedacted@gaslightersband You don't even need a new phone for that! Record a voice memo, then drop it into https://t.co/MvHO5bA0ci โ it'll convert your audio to text in minutes. 20 free minutes when you sign up.
@OnceRedacted@gaslightersband That workflow is exactly what AudioScript is built for โ talk, upload the recording, get clean text back. No typing needed. https://t.co/MvHO5bA0ci
@heygurisingh Great for devs who want local control! The flip side: most podcasters, journalists & students just want to drag-and-drop audio and get text โ no terminal, no GPU needed. Both use cases are valid, just different tools for different crowds.