FaceSearch.app
FaceCheck
FacesearchAI
PimEyes
Lenso.ai
Profacefinder
Face ID Search
FaceOnLive Face Search
TranscriptFetch
SocialFetch.dev
TranscriptAPI.com
Face Search is an AI-powered tool that lets you search the internet using just a photo instead of text. Whether youโre curious about your doppelgรคnger, verifying someoneโs identity, or tracking down where an image came from, Face Search makes the process simple and secure. All you have to do is upload a picture, and within seconds it scans public sources across the web to find visually similar matchesโlike social media profiles, historical portraits, celebrity lookalikes, or other public appearances. Itโs useful in everyday situations like checking if a dating profile is real, verifying online sellers before you buy, or finding older and higher-quality versions of your favorite photos. For journalists, investigators, and security teams, Face Search can also help trace impersonation, monitor personal or brand reputation, and conduct open-source intelligence (OSINT) research more efficiently. Privacy is at the core: every upload is instantly deleted after the search, and the platform is fully GDPR-compliant, ensuring that your data is never stored or misused. Designed to be fast, fun, and safe, Face Search combines powerful technology with an easy-to-use interface, making it accessible to casual users, professionals, and anyone in between who wants to explore the hidden connections behind images.
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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FaceSearch.app's answer
It combines precision, speed, simplicity, and privacy in one intuitive tool
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.
FaceSearch.app's answer
FaceSearch.app stands out by offering instant, AI-powered face recognition that searches public web sources with high accuracy with GUARANTEED RESULTS.
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.
FaceSearch.app's answer
FaceSearch.app primarily serves journalists, investigators, security professionals, and everyday users who need to verify identities, trace images, or detect impersonations quickly and securely.
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.
FaceSearch.app's answer
FaceSearch.app was created to make visual identity verification accessible to everyoneโbridging the gap between advanced AI image analysis and everyday online safety needs, born from the growing demand for trust and transparency on the web.
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.
FaceSearch.app's answer
The platform is built using advanced facial recognition AI models, computer vision frameworks, and scalable cloud infrastructure optimized for privacy and real-time search.
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.
FaceSearch.app's answer
FaceCheck - FaceCheck is a free face recognition search engine. It allows you to search the Internet using a photo of a face. The search result will show you links to webpages on the Internet where the face of a person or people who look similar have been seen.
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.
FacesearchAI - Search Any Face Online from Images & Video
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.
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.
Lenso.ai - Lenso.ai - Search for places, people, duplicates and more with AI-powered reverse image search