
PodcastCraft.app
Notta.ai
Descript
Podcastle
Otter.ai
Free Podcast Transcription
Podcast 9
Free online tool to instantly transcribe Spotify or Apple Podcasts into text, SRT, VTT, or JSON. Accurate, fast, and perfect for podcasters, students, and researchers.

1-Click Deploy
Deploy anywhere from your AI tool.
Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | podcaststotext.com | cloudploy.com |
| Pricing | ||
| Company | Startup from Cyprus · 1 - 9 employees · 2025 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


PodcastsToText is an AI-powered podcast transcription tool that converts podcast episodes into accurate text transcripts in seconds. Users can generate transcripts from Spotify podcasts, Apple Podcasts, RSS feeds, or uploaded audio files. The tool automatically detects speech and produces...
Add an API key. Your agent deploys from Claude Code, Cursor, or any MCP client. Bring your own Ubuntu/AWS server or provision Hetzner/DigitalOcean/AWS at cost. Flat plan for the control plane; compute at the provider’s rate. Free forever: 1 small server, 1 app.
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of CloudPloy yet.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using PodcastsToText and CloudPloy. For example, how are they different and which one is better?
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AI-powered podcast transcription and content creation. Pay only for what you use.
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Automatically turn audio into editable, searchable and sharable text. Notta helps unleash the power of voice and brings your productivity to the next level.
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Text-based audio editor and automated transcription
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Convert news/articles to a podcast using machine learning
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Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
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