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Podcasts To Text
RISING
#1154 Radar 50

Transcribes podcasts from major platforms or audio files into searchable text.

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Product memo

Podcasts To Text converts audio from Spotify, Apple Podcasts, or uploaded files into text, SRT, VTT, or JSON formats. It serves podcasters, language learners, and students who need accurate, searchable transcripts. The service differentiates itself with AI-powered speech-to-text and speaker recognition, focusing on a direct workflow for podcast content.

For who

Podcasters, students, and language learners

Solves what

Transcribing podcasts from Spotify, Apple Podcasts, or audio files into text.

  • AI-powered transcription
  • Speaker recognition
  • Multiple export formats
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In their own words

Transcribe Spotify & Apple Podcasts Free - Convert Podcasts to Text

Instantly transcribe Spotify or Apple Podcasts into text, SRT, VTT, or JSON. Perfect for podcasters, language learners, students, and more.

Transform any podcast into accurate, searchable text with our advanced AI technology

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • Annual billing offers a discount, securing longer-term customer commitments.

Operator context

Founded

Oct 2025

HQ

Cyprus

Platform

Web app

Audience

Creators

Payments

Stripe

Tech stack

Stripe

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Solo Buildable
About Podcasts To Text Expand

Podcasts To Text provides a specialized service for converting podcast audio into accurate, searchable text. It caters to podcasters seeking to repurpose content, students needing study aids, and language learners practicing comprehension.

The platform supports direct transcription from Spotify and Apple Podcasts URLs, alongside uploaded audio files. By focusing on AI-powered speech-to-text and offering speaker recognition, it delivers precise transcripts in multiple export formats like TXT, SRT, VTT, and JSON.

This niche-focused approach simplifies the transcription workflow for users who specifically work with podcast content.