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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.
Paperize
RepDBNo features have been listed yet.
Paperize's answer
Paperize stands out by offering a truly revolutionary approach to digital document aesthetics, centered on unparalleled convenience, security, and visual fidelity:
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.
Paperize's answer
Choosing Paperize means opting for a smarter, more secure, and significantly more efficient way to handle your digital documents:
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.
Paperize's answer
Our primary audience consists of individuals and organizations who prioritize efficiency, data security, and unique visual presentation in their digital document workflows. They are often:
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.
Paperize's answer
The cumbersome, insecure, and resource-intensive process of physically printing a digital document, scanning it, and then re-uploading it, just to achieve a "scanned paper" look. This traditional method was not only inefficient but also raised serious privacy concerns as sensitive documents left the user's control.
The vision behind Paperize was simple yet profound: to bridge the gap between digital precision and analog charm, all while ensuring paramount data security. Why should users have to resort to physical workarounds when the digital realm offered so much potential? The idea was to create a tool that could imbue a clean PDF with the subtle imperfections, textures, and aged appearance of a scanned paper document, directly within the user's browser.
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.
Paperize's answer
TypeScript, NextJS, Tailwind, Shadcn/UI, pdfjs, vercel
Paperize's answer
These core user segments include:
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