How RHISEARCH Works
Search inside social videos and images. Not titles. Not tags. Actual visual content.
In RHISEARCH, results are ranked by one thing only: how prominently what you searched for actually appears in each video. Not the number of views. Not the size of the channel. Not trending status. Not follower count. Not algorithmic assumptions about what you probably want.
A video from a creator with 300 followers will rank above a video from a channel with 3 million if it contains what you searched for more clearly and consistently. RHISEARCH makes no inference about your intent and has no interest in pushing popular content. It just measures visual presence.
That said: if you want to find a specific celebrity, a famous influencer, a landmark or a well-known brand, you can search for them by name and they will appear. And if you want to re-sort results by engagement, views or upload date, you can do that too — the sort controls are always available after a search.
The problem with social search today
YouTube, TikTok and Instagram let you search by title, description and hashtag. That means if a video shows a Nike Air Max but nobody mentioned it in the caption, that video is invisible to any search engine. The same applies to people, clothing items, food, buildings, muscles being trained, brands and anything else that appears visually but is never typed.
RHISEARCH solves this. It ignores titles and tags entirely and searches directly inside the visual content of each video and image.
How the AI analysis works
Every video is processed frame by frame. RHISEARCH extracts frames at regular intervals and runs each one through a Vision Language AI model. This model produces a structured description of everything visible: people and their characteristics, specific clothing items, brands and logos, food and drinks, muscles being trained, buildings and their estimated era, objects, animals, vehicles, artworks and more.
The result is a detailed index for each video that captures not just what is visible, but how often and how prominently it appears. This is the presence rate — a value from 0.1 (barely visible) to 1.0 (dominant throughout). You control it directly in your search query.
What you can search for
Because the index is built from visual analysis, almost anything visible in a video can become a search term. Here is what RHISEARCH detects and indexes.
This includes cartoon and anime characters, videogame footage, musical instruments, furniture and interior design, technology devices, animals, vehicles and much more — if it is visible in the frame, it can be searched.
Search for a brand and a specific model together. RHISEARCH detects logos, product designs and brand identifiers even when the video is not about that brand.
Nike, Air MaxToyota, GR86Apple, MacBookFender, StratocasterSearch for specific garments even when the video is not about fashion. A jacket, a cap, a pair of sneakers visible in a sports or travel video will be found regardless of what the creator wrote in the caption.
bomber jacket, malecap, New Yorkrunning shoes, femaleSearch for specific muscle groups or workout types to discover videos where those muscles are actively trained, regardless of the video title. You can combine muscle and workout terms to find exactly the training content you need, or just seek the muscle part / body part exposed (check the Syntax tab in the homepage menu).
male, naked shouldershamstrings, femalequadriceps, squatchest, bench pressglutes, hip thrustFind videos by the food or drinks that appear visually — whether in a recipe video, a restaurant visit, a travel vlog or any other content type. Search by dish, ingredient or drink category.
sushi, Japanespresso, Italyburger, streetcocktail, femaleEstimate when an object was made or when a building was built using numeric filters. Use year_estimated for objects and vehicles, and era_estimated for architecture and historical content.
car, year_estimated > 2020building, era_estimated < 1900motorcycle, year_estimated > 2015Filter by the type of content regardless of subject matter. Combine a content type with any other keyword to get highly specific results.
concerttrailervlogtutorialeducationalmusicvideogamesporttv showdocumentaryControl how present a keyword must be
Every detected element in a video has a presence rate: a number from 0.1 to 1.0 that reflects how prominently and frequently it appears across all analyzed frames. You can use this rate as a filter to control the confidence of your results.
Nike, rate > 0.8Nike visible in more than 80% of frames — the video is clearly about Nikequadriceps, rate >= 0.5Quadriceps trained for at least half the videoToyota, rate > 0.3Toyota appears with moderate frequency — not just a passing shotSearch and filter by language
RHISEARCH supports 11 languages. You can type your search in any of them and the engine will automatically translate your keywords before searching the visual index. You can also filter results by the language of the video content itself — useful when you want to find content produced in a specific language regardless of what you typed.
Supported platforms
RHISEARCH indexes content from three major social platforms, each searchable independently or together.
Combine keywords for surgical precision
Keywords are separated by commas. Each one is an independent filter applied to the visual index. The more you combine, the more precise the results.
female, yoga, age between 25 and 35Person filter with age range and activitytutorial, guitar, Fender, StratocasterContent type, object, brand and modelmale, chest covered, Nike, age >= 30Person with body state, brand and agesushi, KyotoFood, location and content typebuilding, era_estimated < 1900, RomeHistoric architecture in a specific citytriceps, calisthenics, rate >= 0.5Muscle with workout type and minimum presence ratevideogame, male, age between 18 and 25Content type with person filterWho uses RHISEARCH
RHISEARCH is useful for anyone who needs to find social content based on what is actually shown, not what is written about it.
Marketing teams use it to track brand and product appearances in user-generated content across platforms. Talent scouts and agencies use it to find creators by the specific visual content they produce. Researchers and analysts use it to study what topics, products and people dominate social video. Creators use it to find visual reference content and study what performs in their niche. Fitness professionals use it to discover training videos by the specific muscles or techniques shown.
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