Claude AI
ChatGPT
Gemini
Perplexity.ai
Poe
Microsoft Copilot
Jasper.ai
OpenAI
TranscriptFetch
SocialFetch.dev
TranscriptAPI.com
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.
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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.
Expensive, and the pricing model changed, but it just works. I hope more competitors release equally good quality to have a more fair pricing model in the longrun.
So Iโve been playing around with Claude for a bit, and hereโs the vibe:
Honestly, it feels way more chill than a lot of other AI tools. Itโs super polite, doesnโt jump into assumptions too fast, and gives responses that are easy to read like talking to a thoughtful friend rather than someone in a hurry. Itโs surprisingly good at breaking down complex stuff into simple terms without sounding condescending, which I really appreciate.
In terms of creativity, Claude does pretty well โ whether I ask for a poem, a short story, or help brainstorming ideas, it doesnโt just give cookie-cutter replies. Thereโs a bit of personality there, like it tries to make things interesting rather than just factual.
On the downside? Sometimes it plays it a bit too safe. If you push for a bold opinion or a more adventurous answer, itโll often stay in the middle-of-the-road lane. And for niche topics, itโs not always as sharp as some other models unless you give super clear instructions.
Also, itโs fast no long pauses or overcomplicated explanations which makes it nice for quick back-and-forth.
Claude Sonnet 3.5 is amazing for coding! I used to use the chat interface and copy-paste, but now I use aider.chat. Aider works in a git repo and forces Claude to only make the changes you requested. Changes are easy to revert.
A downside: Code is not always what I want. I try to make it do work in small chunks and this helps. Excels at writing boilerplate-y code that tends to be a little different on different websites.
Two helpful styles of prompts:
Using it for Python/Django/HTMX/AlpineJS. Django templates mixed with JS are no problem.
Based on our record, Claude AI seems to be more popular. It has been mentiond 99 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.
Have same issue, it redirect to https://claude.ai/login?returnTo=%2Fdesign then back and redirect to https://claude.ai/login?returnTo=%2Fdesign again, looping... - Source: Hacker News / 4 months ago
My prefered way of using a new mode is through Claude, but I believe Gemma4 has a different tool calling structure so it is not compatible yet, but you can use it with LMStudio, or skil all that because you can now. - Source: dev.to / 4 months ago
โ In 2024, Apple released a technical paper revealing that "Apple Intelligence" was trained on TPUs, bypassing NVIDIA entirely โ Top AI models like Claude (Anthropic), Midjourney, and Character.ai rely heavily on Google because they offer better performance-per-dollar for massive Transformer models. - Source: dev.to / 7 months ago
Drop an image into Claude or ChatGPT asking it to "recreate this." The result? The LLM guesses styles. Is that padding 16px or 24px? Is that blue #3b82f6 or #2563eb? Is the shadow 0 2px 8px or 0 4px 12px? Pure hallucination. - Source: dev.to / 7 months ago
AI tool (MCP Client) with a paid subscription is preferred - We use Claude with โpro planโ as an example. - Source: dev.to / 7 months ago
ChatGPT - ChatGPT is a powerful, open-source language model.
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.
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.
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.
Perplexity.ai - Ask anything
Poe - Fast, helpful AI chat from Quora