WhatMovieIsThis
Pricing
- Model
- Free
Summary
Reverse image search returns a page of fan sites and Reddit threads — never the title. WhatMovieIsThis skips that loop entirely, feeding the frame directly into a vision model that reasons about costumes, lighting, and set design to return the actual title in seconds.
The core workflow is upload-and-identify: drop up to ten screenshots or paste a YouTube link, and the tool extracts frames, names the film or series, and surfaces IMDb, Rotten Tomatoes, and Metacritic ratings alongside streaming links for your region. The vendor states images are processed for identification only and are never sold or used to train third-party models — no account required. The identification relies entirely on what the vision model can reason from the frame, so heavily cropped, darkened, or stylized images will return lower-confidence matches or miss entirely. There is no API, no self-hosting option, and no batch export — what you get is a web session, nothing more.
Bottom line: This solves the 'I've been trying to remember this film for three years' problem in under a minute — but if you need to pipe identification results into your own app or run bulk lookups programmatically, there is no path to that here.
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Pros
Sign in to edit- No account or payment required for the core identification flow, so you get an answer without a signup friction that would otherwise kill the use case mid-session.
- Accepts up to ten screenshots in one submission, which means feeding frames from the beginning, middle, and end of a scene raises confidence on ambiguous or cropped images rather than forcing a single perfect frame.
- YouTube and Shorts URL support lets the tool extract its own frames from a clip, so you are not manually screenshotting video to get an identification.
- Returns ratings from IMDb, Rotten Tomatoes, and Metacritic alongside streaming availability in one result, so you skip the second and third browser tabs you would otherwise open to vet whether the title is worth watching.
- The vendor states uploaded images are never sold or used to train third-party models, which removes the concern about sensitive or private screen content leaking into a training pipeline.
Cons
Sign in to edit- The identification ceiling is the visual quality and framing of the screenshot: heavily cropped frames, darkened cinematography, or heavily stylized animation that strips recognizable context will return low-confidence results or fail outright, with no fallback other than uploading a different frame manually.
- There is no API and no programmatic access of any kind, so any developer who needs to embed identification into their own application — a browser extension, a Discord bot, a content moderation tool — cannot use this service and moves to a vision API provider they can call directly.
- Session history is stored as browser-local favorites with no account sync, meaning a user switching devices or clearing browser storage loses their identification history with no recovery path.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-27T13:17:22.472Z
Best For
Who it's for
- Users wanting quick title + ratings + watch links
- Fans of anime, dramas, and international cinema
- Anyone remembering one visual clue or line of dialogue
What it does well
- Identify movie or show from a screenshot or meme
- Find title from a scene in a YouTube clip
- Match a remembered quote to the source film or series
- Discover streaming options and ratings for identified titles
- Identify anime, K-dramas, or international content from frames
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Frequently Asked Questions
- Is WhatMovieIsThis free?
- Yes — WhatMovieIsThis is fully free to use. There is no paid tier.
- Is WhatMovieIsThis open source?
- Yes. WhatMovieIsThis is open source.
- What platforms does WhatMovieIsThis support?
- WhatMovieIsThis is available on: Web.
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WhatMovieIsThis answers a single question — what movie or show is this frame from — by running uploaded screenshots or YouTube-extracted frames through a multimodal vision model the vendor describes as GPT-5 Vision. Drop up to ten images from different moments of the same title for higher accuracy, paste a YouTube or Shorts URL to let the tool pull frames automatically, or skip visuals entirely and use the companion quote finder to match a remembered line of dialogue to its source. Each result returns the title, year, a spoiler-light summary, confidence rating, an explanation of which visual clues drove the match, ratings from three aggregators, the official trailer, full cast and director credits, similar titles, and where to stream it legally in your country.
The differentiating claim the vendor makes is that standard reverse image search surfaces the same image on other sites — it does not name the film. Because the tool uses a model trained to reason about cinematic context rather than pixel-matching against an indexed database, it can identify a scene that has never been posted publicly. That makes it functional for obscure international releases, older catalog titles, and frames from anime or K-dramas that rarely appear in Western image indexes.
This tool fits one scenario precisely: a person holding a single visual clue — a screenshot, a meme, a moment from someone else’s screen — who wants the title, ratings, and a streaming link without creating an account or paying anything. It breaks immediately when the need shifts to anything programmatic. There is no API, so developers cannot call identification from their own applications. There is no batch processing for multiple unrelated titles, no export format, and no self-hosted deployment path. Teams building a content recognition feature into their own product will hit a hard wall here and move to a provider with a documented API.