TinEye
Google Images
SauceNAO
Yandex.Images
PimEyes
IQDB
Google Lens
Lenso.ai
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.
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I generally prefer to use https://tineye.com/ because it just reverse searches instead of trying to do some voodoo with the image. - Source: Hacker News / 10 months ago
Cropping or recompressing the image helps with nothing. See tineye reverse image search, it handles variations with ease https://tineye.com/. - Source: Hacker News / over 1 year ago
I have a bit of an image-hoarding obsession and spend a lot of time researching pictures I find online in great depth. This involves using sites like tineye.com, Reddit, and Pinterest to identify the source of an image, then tracking down the history, maker, and theory behind it. It's all hobby-based - mainly focused on art, photography, museum oddities, antiques, and fashion that I like. Basically anything... Source: over 2 years ago
Used TinEyeto find other places these images ate shared on. No results yet. Source: over 2 years ago
Your post has been removed as it's a repost from the past month or one of the top post of all time. Please avoid re-posting memes. Please check http://karmadecay.com, https://tineye.com , or the Google's "Similar Image" search in the future before posting. All of those miss things, but it's a great start. Also make sure to use the search button and check through this link: www.reddit.com/r/im14andthisisdeep/top... Source: over 2 years ago
Google Images - Google Images is a search service owned by Google that allows users to search the World Wide Web for image content.
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.
SauceNAO - SauceNAO is a reverse image search engine.
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.
Yandex.Images - search for images on the internet, search by image
PimEyes - Search by face image and find given person with information where this person appear online. PimEyes analyzes over 50 million websites to provide the most accurate search results.