mictoo
Podcasters · Hosts · Free

Podcast Transcription
Free AI transcript for every episode

Drop your episode from any recording tool. Get a clean, timestamped transcript with AI summary ready for show notes, SEO recap, and YouTube captions.

Free
Auto-deleted
50+ languages
AI summary (OpenAI)
Chat with transcript

Drop your file here

or click to browse

MP3 · MP4 · WAV · M4A · OGG · WEBM · FLAC  ·  Max 25MB  ·  Max 30 min

180 min · Sign in

Got a bigger file? See how to compress.

Got a longer recording? See how to split.

Riverside
Zencastr
SquadCast
Cleanfeed
Descript
Anchor

How podcast transcription works

1
Export the episode
Any format your DAW or recording tool produces. MP3 is most common, but M4A, WAV, and FLAC all work.
2
Drop the file here
Upload files up to 60 MB when signed in. Longer episodes are auto-split into segments and stitched back together.
3
Show notes, captions, exports
Transcript, AI summary, SRT for the YouTube video version, and DOCX for the blog. Processing time depends on episode length and file size.

Example podcast transcript

TranscriptNotes
Search
0:00Welcome back to the show. This is episode forty-two, and today we are talking about independent podcasting in 2026.
0:10My guest has been running a weekly show for eight years without missing an episode. Thanks for being here.
0:20Thanks for having me. It is wild to think we started this back when everyone said audio was already saturated.
0:30Let us start there. What was different about launching a podcast in 2018 versus now.
0:38Distribution was harder to break into, but audiences were more patient. Attention was cheaper, essentially.
0:48Today the tools are amazing. Transcription in seconds, AI show notes, but attention itself is much scarcer.
0:58That is a good segue. What is your show-notes workflow now that transcripts are basically free.
AI Summary
  • •Episode 42, focus on independent podcasting in 2026.
  • •Guest: 8-year weekly show host.
  • •Discussion: distribution changes 2018 vs 2026.
  • •Attention economy the new bottleneck.
Action items
  • Draft show notes from summary
  • Extract 3 pull quotes for social
  • Publish SRT to YouTube video version
0:00 / 52:07
1x
TranslateTXTSRTVTTDOCX

Illustration. Real transcripts show timestamps and text without speaker labels.

Why Mictoo for podcast transcription

AI summary for show notes
Solid first draft for episode descriptions, blog recaps, and SEO-friendly show notes.
SRT for the YouTube version
Timestamps align to the original audio. Drop SRT into YouTube Studio and captions are done.
Translate for international audiences
One-click translation to 50+ languages. Solo hosts syndicate globally without a translation agency.
Any bitrate, any recorder
32 kbps voice notes to 320 kbps studio bounces transcribe identically for clean speech.

Podcast transcription scenarios

Show notes
YouTube captions
SEO recap
Pull-quote clips
Translation
Back-catalog

Tips for cleaner podcast transcripts

  • Bounce a voice-only stem when your DAW allows it.
  • A voice-optimised 64 kbps mono MP3 transcribes just as well.
  • For interview episodes, remove music beds before transcription.
  • Review host and guest names once, they appear consistently after.

Frequently asked questions

What podcast platforms does Mictoo work with?

All of them. We accept any audio or video file regardless of host. Common: Riverside, Zencastr, SquadCast, Anchor, Buzzsprout, Libsyn. Free per file up to 60 MB signed in.

Can I get the transcript as show notes automatically?

The AI summary appears alongside the transcript automatically. Use it as the first draft of your show notes then trim to fit your voice.

My episode is over 60 MB. What now?

Sign in to auto-split longer files, or downsample first with ffmpeg -i episode.mp3 -b:a 64k -ac 1 out.mp3. A 60-minute podcast becomes ~28 MB with no accuracy loss.

Can I download SRT for the YouTube video version?

Yes. SRT and VTT include timestamps aligned to the original audio. Drop into YouTube Studio directly.

Does Mictoo transcribe non-English podcasts?

Yes. Whisper large-v3 supports 50+ languages with auto-detection. For short episodes or unusual accents, pick the language explicitly.

Are episodes stored on your servers?

No. The audio streams to the transcription provider, gets processed once, and is dropped from memory. Transcripts are only stored if you sign in.

Can I identify who is speaking (host vs guest)?

No. The current transcript is continuous text with timestamps and no automatic speaker labels.

Turn every episode into publishable text
Show notes, YouTube captions, SEO recap, translation. All from a single upload.
Upload a podcast episode

Related use cases

Interview TranscriptionWebinar TranscriptionMP3 to TextFree SRT GeneratorMeeting Transcription