PhotoRoom
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remove.bg
RepDB
RepDB is a one-time-purchase exercise dataset for developers building fitness and workout apps โ not a subscription, not a rate-limited API. You download the data once and own it: JSON (and SQLite on the higher tier), WebP images, and full EN/DE/ES translations, with no per-request billing and no dependency on our servers staying up.
A free tier includes 400 exercises with flat-style 512ร512 images, attribution-licensed for commercial in-app use. The Starter tier ($199) adds the full catalog in classic white-background style. Standard ($399) adds transparent 1024px images, looping animations, exercise relations (similar/progressions/regressions), workout templates, and embeddings โ exclusive to that tier.
Every exercise includes muscle-group highlighting, equipment/muscle icons, MET values, and safety/goal tags. Compared to GIF- or JPG-based competitor APIs, RepDB images are transparent WebP with no watermarks, so they drop into any app UI without a white box around them.
PhotoRoom
RepDBPhotoRoom is recommended for entrepreneurs, small business owners, social media managers, and anyone who needs to create clean, professional images quickly. It's particularly useful for e-commerce sellers who require high-quality product images without the need for extensive photo editing skills or resources.
RepDB's answer:
RepDB is sold as a one-time download, not a metered API โ you own the JSON/SQLite data and WebP images outright, with no rate limits, no per-request billing, and no risk of the vendor cutting off access. It's also the only dataset in this space with EN/DE/ES translations, transparent (alpha-channel) images with no watermark, muscle-group highlighting, safety/goal tags, and looping animations on the higher tier.
RepDB's answer:
RepDB grew out of a consumer workout app its creator was building solo. Sourcing exercise images and data meant either paying for a subscription API with usage caps and no caching rights, or producing everything from scratch. The illustrated, multi-language dataset was built for us first, then split out as its own product once it became clear other indie developers had the same problem and preferred to buy the data outright rather than rent it through an API.
RepDB's answer:
Most alternatives are subscription APIs โ you pay monthly, you're capped on requests, and ExerciseDB's terms of use explicitly forbid caching or storing the data at all, so every image render is a live paid API call. RepDB is the opposite: pay once, download the files, self-host with zero ongoing dependency. It's also the only option offering true DE/ES localization and transparent images instead of a white box behind every exercise.
RepDB's answer:
Solo developers and small teams building fitness or workout-tracking apps (iOS, Android, web) who need licensed exercise images and structured exercise data, but don't want to build their own media pipeline or depend on a rate-limited third-party API.
Based on our record, PhotoRoom seems to be more popular. It has been mentiond 4 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.
There's an excellent app and website called PhotoRoom that you can play around with to add your own background. I'm thinking that there may be a special place that the two of you like to go, and could insert that into the background. Source: over 3 years ago
We need a background remover similar to photoroom.com in quality. Our dev was able to make a rudimentary version but it picks up background details and doesnt finely mask around hair and fine details like photoroom does. I expect there's something floating around github. Just haven't found it. Source: over 3 years ago
And use Photoroom to remove background. EBay algorithm prefers white background. First 250 photos are free. Worth the paid version, you can upload a batch and it wipes out the background 10x cleaner than ebayโs tool. Photoroom โจ PhotoRoom - Remove background in 3 seconds. Source: over 3 years ago
Matthieu Rouif, cofounder of Photoroom got feedback on his mobile app by paying for people's McDonalds. He and cofounder Eliot visited restaurants in Paris and asked queueing patrons to use the app for a few minutes. In return Matthieu and Eliot paid for the participant's meal. Then the guys went home, fixed the issues, and repeated the tests the next day. Source: almost 5 years ago
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