Riverside.fm
Descript
Zencastr
SquadCast.fm
Anchor.fm
Otter.ai
Cleanfeed.net
HappyScribe
TranscriptFetch
SocialFetch.dev
TranscriptAPI.com
โโRiverside is a remote podcast and video recording platform that enables local recording of audio and 4K video tracks independent of internet connection. Riverside helps world famous podcasters, content creators and companies like Guy Raz, Gary Vaynerchuk, New York Times & Spotify to record high quality content without the need of a physical studio. Our solution offers different roles such as producer, host and guest to give teams and organizations maximum control over their content creation process.
TranscriptFetch is one API for getting text out of video and web content.
Send a URL from YouTube, TikTok, Instagram, X or Facebook and get back clean, timestamped text. Send any web page and get clean Markdown. One endpoint, one response shape, one API key.
Most short-form video has no caption track to download. TikTok's auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and a large share of captions on both platforms are burned into the video frames where no parser can read them.
When there is no caption track, TranscriptFetch transcribes the audio instead. Same endpoint, same response, so your code never branches on which method produced the text.
text field for feeding a model or a search indexsegments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration100 free credits on signup, no card required. One credit per successful response. Failed, blocked and empty results are never charged, which matters on short-form video where a meaningful share of any batch is music with no speech in it.
Riverside.fm TranscriptFetchNo TranscriptFetch videos yet. You could help us improve this page by suggesting one.
TranscriptFetch's answer:
Most short-form video has no caption track to download. TikTokโs auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.
TranscriptFetch's answer:
Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.
TranscriptFetch's answer:
Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.
TranscriptFetch's answer:
It started with discovering there is no good way to get the text of a video. YouTubeโs official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video ownerโs OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.
TranscriptFetch's answer:
Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.
Based on our record, Riverside.fm seems to be more popular. It has been mentiond 72 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We use the free tier of Riverside to record the actual podcast audio. One benefit over Zoom is that there is no time limit for the "meeting". It also has the ability to export each person's audio separately which makes the editing of the final audio easier. We don't use any other features in Riverside other than recording audio, but might look into it more in the future. - Source: dev.to / over 2 years ago
Every two weeks on a Wednesday at 5 PM UTC I will host an hour-long live stream across YouTube, Twitch, LinkedIn, and X using Riverside.fm. I will invite another mentor to join me for the stream, but most importantly, I invite junior developers to join the stream. - Source: dev.to / over 2 years ago
Hello! I haven't been able to find any information on whether this is possible, and if it is - how to do it. Is there a way to correct the misspelled names of people or just straight up wrong words that were AI transcribed on riverside.fm? Source: almost 3 years ago
If you look for something easy to handle and to record remote interviews I like riverside.fm. Source: about 3 years ago
I'm a happy riverside.fm user, have published 13 episodes so far, and do simultaneous audio/video with a remote co-host and have had as many as two additional guests on. Source: over 3 years ago
Descript - Text-based audio editor and automated transcription
SocialFetch.dev - Social media scraping API for public profiles, posts, comments, videos, transcripts, and metrics from TikTok, Instagram, YouTube, X, LinkedIn, and more. Pay-as-you-go credits, 100 free to start.
Zencastr - High Fidelity Podcasting
TranscriptAPI.com - Get YouTube video transcripts with a simple API call or through Model Context Protocol. Fast, reliable, and easy to integrate into your applications.
SquadCast.fm - Remote Interviews for Professional Podcasters ๐๏ธโจ๐๏ธ
Anchor.fm - Record bite-sized podcasts that anyone can join โ