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Podcast to Blog Post
One episode → a publishable blog post: a titled article in the speaker's voice, with sections that follow the episode and a key-takeaways list.
50 credits free every month
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Upload after your free sign-upMP3, M4A, WAV, MP4, MOV, and more · up to 500 MB, one file
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EXAMPLE
What you get
check_circleA titled article with a hook intro and H2 sections that follow the episode
check_circleA key-takeaways bullet list and a short conclusion, every time
check_circleWritten in the speaker's voice, only from what was actually said
check_circleVideo episodes handled - the audio is extracted first
check_circleMarkdown and a formatted DOCX, both named after your episode
How it works
1Upload one episodeDrop in an audio or video file up to 500 MB - a published episode, a raw recording, or a video interview.
2We transcribe, then write the articleThe speech is transcribed on our own servers, then a language model writes the post from that transcript - and only from that transcript.
3Download the postA Markdown file ready for your CMS and a formatted DOCX, both named after your episode, with the article's title, sections, and key takeaways.
Who uses this tool
PODCASTING
Every episode, published twice
MARKETING
SEO from content you already made
COACHES & CREATORS
Talks that keep working
B2B & SAAS
Expert interviews as articles
NEWSLETTERS
The episode, as an email draft
EDUCATION
Lessons students can read
SECURITY
Built for sensitive documents
Bank statements, medical files, case records. Security isn't a feature we added - it's the foundation.
lock
Encrypted in transit
Encrypted in transit over TLS 1.2+, and stored in access-controlled, encrypted object storage. Files are protected the moment they leave your browser.
admin_panel_settings
Your files stay yours
Workspaces are isolated per account. Role-based access shows teammates only what they need.
auto_delete
Deleted, not stored
Files are deleted after processing. Everything runs on our own hardware and is never sent to an outside AI service, so your data is never used to train models.
dnsProcessed on our own hardwareauto_deleteDeleted after processinglockEncrypted in transit
Questions
Common audio and video recordings: MP3, M4A, WAV, AAC, FLAC, OGG, OPUS, WMA, and video like MP4, MOV, M4V, WEBM, MKV, and AVI. For video we extract the audio track first. One episode per job, up to 500 MB.
No. The transcript is the raw material, not the output. The article is written prose in the speaker's voice - a title, a hook intro, H2 sections that follow the episode's arc, a key-takeaways list, and a short conclusion - with no timestamps and no filler words.
No. The model is instructed to use only facts, claims, names, and numbers that are actually in the episode, never outside knowledge. It writes up what was said - it does not pad the piece with invented material.
The transcript has no speaker labels, so a multi-host episode reads as one voice unless names are actually spoken in the recording. Solo episodes and clearly-named guests work best.
6 credits per minute of audio. Because the length is not known until the file is processed, the upfront hold is estimated from file size at a typical bitrate for the format (about 1 MB per minute for MP3 audio, more for WAV, FLAC, or video). The minimum is 6 credits.
Yes. Recordings run on our own servers, are never used to train any model, and are auto-deleted 7 days after the job finishes.
Related tools
Episode → show notes
Podcast Show Notes
One episode upload → a complete show-notes page: description, timestamped highlights, people and resources mentioned, and pull quotes.
Episode → chapter markers
Podcast Chapters
One episode → a YouTube-ready chapter list: timestamped "MM:SS Title" lines you can paste straight into your show notes or video description.
Long recording → summary
Transcript Summarizer
An hour of audio, or a pasted transcript → a structured summary you can read in two minutes.
Try it free. 50 credits every month.
No card needed. Files are deleted after processing.