Does LineaType identify host and guests separately?

Yes. The engine detects distinct voices and separates segments by speaker automatically. You can rename participants on the platform.

Can I publish the generated text on a blog?

The text arrives reviewed but publishing a literal transcription directly doesn't always work well as a post. The ideal workflow is to use it as a starting point and edit for the written format.

Is pricing per episode or per minute?

Per minute, at $0.10/min. A 30-min episode costs $3.00. A 1-hour episode costs $6.00. No subscription.

AI podcast transcription

Turn your episodes into text.
Repurpose every word.

Upload the episode. Get the text with each speaker identified — ready to become a blog post, newsletter, or article.

Transcribe episode now — 10 minutes free →

No credit card · $0.10/min · MP3, WAV, M4A and more

🎙️ episode-42-startups.mp3 · 58 min · Completed

Host

We launched without knowing if it would work. It was a real leap of faith.

Guest

And how was the market reception? Was there pushback at first?

✓ AI-reviewed

Host + guest identified

For podcasters, every episode contains enough material for 5 or 10 derivative pieces: blog post, thread, newsletter, quote graphics, Reels script. Transcription is the first step in that repurposing — and LineaType does it in minutes. The AI engine transcribes the full episode and an automatic review layer fixes punctuation and fragments. The result arrives clean, with host and guest identified separately.

Beyond content repurposing, publishing the episode transcript on your blog has a direct SEO impact: Google indexes text, not audio. A transcribed episode becomes searchable content that grows the podcast's organic reach. Custom vocabulary solves the classic problem of technical terms and guest names being misspelled in transcription — save them once and the AI applies them across every episode.

episode transcribed in under 20 min

$6.00

cost for 1 hour of episode

+content

posts, newsletter, articles

Process

How it works

Three steps. From episode to text ready to repurpose.

Upload the episode file

MP3, WAV, M4A, OGG — any audio format. Up to 150 MB per file. For long episodes, export as MP3 128 kbps.

Transcription with speaker identification

The AI engine transcribes the episode and automatically separates host and guests. The automatic review handles punctuation and coherence.

Export and start creating

TXT or DOCX ready for your text editor. Use it as a starting point for a post, newsletter, or article with minimal editing.

Accepted formats:

.mp3

.wav

.m4a

.ogg

.aac

.flac

.mp4

.webm

What sets it apart

Beyond simple transcription

What makes LineaType's output genuinely useful for working podcasters.

🎙️

Host and guests identified

Every line labeled automatically. Ideal for the interview format — you don't need to manually split who said what.

📝

Text ready to repurpose

Exports as TXT or DOCX. Paste into your editor and start writing the post or newsletter with the content already structured.

📚

Your niche's vocabulary

Save technical terms, recurring guest names, and industry brands. The AI applies them across every episode.

🔍

SEO for podcast content

Google indexes text, not audio. Publishing episode transcripts grows your podcast's organic reach.

FAQ

Frequently asked questions

Yes, no duration limit. The file size limit is 150 MB. A 1-hour MP3 at 128 kbps is about 55 MB — well under the limit. For video episodes, export the audio only before uploading.

Yes. The engine detects distinct voices and separates segments by speaker automatically. Participants appear as "Speaker 1", "Speaker 2", etc. — you can rename them to the real names directly in the platform.

MP3 is the most practical format — widely compatible, smaller file size, and no perceptible quality loss for transcription. If the episode was recorded in WAV or FLAC, you can upload it directly too.

The text arrives reviewed with correct punctuation — but publishing a literal transcription directly doesn't always work well as a blog post. The ideal workflow is to use the text as a starting point and edit it for the written format: rearrange sections, add subheadings, adjust tone.

Save your industry terms, recurring guest names, brands, and acronyms. The AI prioritizes those words across every transcription — you no longer need to correct the same mistakes over and over.

Per minute of audio transcribed, at $0.10/min. A 30-minute episode costs $3.00. A 1-hour episode costs $6.00. No upload fee, no subscription — you pay only for what you transcribe.

Get started now.
10 free minutes, no credit card.

Upload the episode and get the text ready to repurpose.

Transcribe episode now →

MP3, WAV, M4A · $0.10/min after free credits

Turn your episodes into text.Repurpose every word.