Speech to Note
HyNote AI
Voice Notes
AudioPen
Otter.ai
TalkNotes
Jamie
Wispr Flow
TranscriptFetch
SocialFetch.dev
TranscriptAPI.com
Ever had an amazing idea while youโre out and about but just couldnโt jot it down? Or stepped out of a meeting brimming with thoughts and insights, struggling to capture it all? Meet SpeechToNote, your new go-to web app (soon coming as a native mobile app) that effortlessly turns your spoken words into killer notes!
Imagine this: Youโre on the go and a brilliant idea hits. No pen? No problem! Just whip out SpeechToNote and start talking. Itโll transform your stream of thoughts into a well-written format. Perfect for creating emails, LinkedIn posts, social media content, descriptions, and more.
Or letโs say youโve just wrapped up a meeting. You want to quickly capture the key points and your unique perspectives. Just speak into SpeechToNote and get a neat bullet list, detailed description, or even the minutes of the meeting, all formatted and ready.
And what about those one-on-one chats that are brimming with important details? With consent, you can record the convo with SpeechToNote and itโll capture everything, turning it into organized and useful context.
Dive into SpeechToNote at SpeechToNote.com and sign up for a free trial. Upgrade to a Pro or Pro+ account based on your needs. Pro accounts let you take sessions up to 15 minutes and come with 100 minutes of upload credits monthly. Pro+ gives you up to 60-minute sessions and 300 minutes of monthly upload credits. Plus, Pro Plus accounts include rad extras like custom formats and Webhooks integration.
So there you have it โ SpeechToNote in a nutshell. Itโs simple and super handy. Give it a try today and make your life a whole lot easier!
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.
Speech to Note 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.
I had a lot of fun recording my voice and generating summaries out of it. It's very simple and easy to use.
Most of the time, I find myself coming back to the tool for recording, emails, social media posts, and video scripts.
Another great part is just taking my own thoughts and converting them into summaries that make sense.
The accuracy of its transcription is impressive, even with various accents and background noise. The user interface is clean and intuitive, making navigation a breeze.
Speech to Note solves the problem of time-consuming manual note-taking, making it more efficient and accurate. This benefits me by saving time and reducing errors in my notes, allowing me to focus on the content rather than transcription.
HyNote AI - AI Note Taker: Audio Transcription, Meeting Notes, PDF Summary
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.
Voice Notes - Voice notes come up with features to help you in keeping track of all your daily life activities and tasks by creating notes without much of a stretch.
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.
AudioPen - The easiest way to convert messy thoughts into clear text
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.