Stop manually transcribing episodes
Upload the final audio file and get a clean transcript without replaying every minute.
AI podcast transcription tool
Convert podcast audio into searchable speaker-labeled transcripts with synchronized timestamps, playback navigation, and reusable publishing-ready text.
Turn raw audio into structured text your team can search, edit, and repurpose.
Upload the final audio file and get a clean transcript without replaying every minute.
Publish transcript text that gives search engines more context for every episode.
Make every spoken idea available through transcript search and timestamp navigation.
Search transcripts, jump to timestamps, copy quotes, and navigate long-form episodes without scrubbing through audio manually.
Public transcript example
The real issue is not motivation. It is that your system makes every new episode feel like starting from zero.
Exactly. A searchable transcript lets the team find the quote, jump back to audio, and turn it into content immediately.
That is where timestamps matter: they connect every sentence to the exact playback moment.
Pull quotes, summaries, and social posts from the transcript instead of starting from scratch.
Search the transcript and jump to exact timestamps while reviewing an episode.
Give listeners and search engines a readable version of every conversation.
Add MP3, WAV, M4A, or AAC audio and start processing.
Podalyze separates voices and aligns text to the audio timeline.
Review the transcript, copy what you need, or use it as the base for summaries and posts.
Generate transcripts, summaries, and reusable content faster.
Search guest conversations and jump to exact moments instantly.
Turn long-form audio into structured publishing assets.
Use transcripts for captions, timestamps, SEO, and repurposed clips.
Podalyze generates highly accurate podcast transcripts with automatic speaker detection, timestamps, and playback synchronization for long-form conversations and interviews.
Yes. Podalyze supports MP3, WAV, M4A, and AAC podcast audio uploads.
Yes. Podalyze automatically detects speaker changes and labels transcript segments for easier reading and editing.
Yes. Generated transcripts are fully searchable and connected to synchronized playback timestamps.
Yes. Publishing transcript text gives search engines more context about your episode topics and can improve discoverability.
Yes. Transcripts can be copied and reused for summaries, show notes, captions, social posts, and publishing workflows.
Upload your next episode and get speaker-labeled text, timestamps, and searchable playback in minutes.