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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.
ConvertYard
RepDBConvertYard's answer
ConvertYard processes every file locally in your browser using WebAssembly โ nothing is uploaded to a server, ever. Most converters send your files to the cloud and delete them later. ConvertYard never receives them in the first place. It also handles batch conversions natively: drop 1,000 files, get 1,000 outputs in a ZIP. That combination โ local-first + batch โ has no dominant player in the market.
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.
ConvertYard's answer
Privacy by architecture, not policy. Tools like Convertio, CloudConvert, and Smallpdf require file uploads; their privacy pages promise deletion. ConvertYard's design makes the promise unnecessary โ your files stay on your device. For teams converting sensitive documents, design assets, or client files in bulk, that's a meaningful difference. No account required, no file size anxiety, no per-conversion limits.
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.
ConvertYard's answer
Professionals who convert files regularly and care where those files go: designers batch-converting assets, developers processing build artifacts, office workers handling sensitive PDFs, and power users who've hit the limits or paywalls of cloud converters. Privacy-conscious individuals who distrust cloud tools also make up a significant segment.
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.
ConvertYard's answer
ConvertYard was built on a simple frustration: every file converter either uploads your files to a stranger's server, paywalls batch processing, or both. Modern browsers can run near-native code via WebAssembly โ there's no technical reason to send files to the cloud. ConvertYard is the answer to "what if the converter just ran in your browser, handled 1,000 files, and cost nothing?"
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.
ConvertYard's answer
Next.js (App Router, static export), TypeScript, Tailwind CSS, and a suite of WebAssembly libraries: libvips-wasm for images, ffmpeg.wasm for video and audio, mupdf-wasm + pdf-lib for PDFs, and @huggingface/transformers for in-browser ML (OCR, table detection). Files are zipped client-side with fflate. Hosted on Cloudflare Pages.
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