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RepDB
RepDB is a one-time-purchase exercise dataset with animations for developers building fitness and workout apps — 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 600+ exercises with flat-style 512×512 images, attribution-licensed for commercial in-app use. The Starter tier ($299) adds the full catalog in classic white-background style. Standard ($499) adds transparent 1024px images, looping animations, exercise relations (similar/progressions/regressions), workout templates, and embeddings — 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.
Schema.org
RepDBWebsite owners, SEO professionals, and developers who are interested in improving their website's search engine performance and who wish to implement rich search features. It is also useful for businesses of all sizes, especially those looking to optimize their online presence through structured data.
RepDB's answer:
RepDB is sold as a one-time download, not a metered API — 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 — 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.
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{ "@context": "https://schema.org", "@type": "Organization", "@id": "https://example.com/#organization", "name": "Acme Digital", "url": "https://example.com/", "sameAs": [ "https://www.linkedin.com/company/acme-digital/" ], "knowsAbout": [ "WordPress", "Ecommerce", "Web development" ] }. - Source: dev.to / 4 days ago
The definition and the measured gains come from Aggarwal et al., GEO: Generative Engine Optimization (arXiv:2311.09735). The click-through figures are from the Pew Research Center panel study of 68,879 searches. The platform behaviour is documented by Google directly, in AI features and your website and Google crawlers and user-triggered fetchers, and the structured-data vocabulary is Schema.org. The read on what... - Source: dev.to / 6 days ago
Public static function digitalOffer( string $name, string $url, string $price, string $currency, string $countryCode, ): array { $zeroDays = [ '@type' => 'QuantitativeValue', 'minValue' => 0, 'maxValue' => 0, 'unitCode' => 'DAY', ]; return [ '@type' => 'Offer', 'name' => $name, 'url' => $url, 'price' => $price, ... - Source: dev.to / 11 days ago
Function localBusinessJsonLd(business: BusinessLocation) { return { "@context": "https://schema.org", "@type": ["AutoRepair", "LocalBusiness"], "@id": `${business.website}/#location-${business.id}`, name: business.publicName, url: business.website, telephone: business.phoneE164, ...(business.address && { address: { "@type": "PostalAddress", ...business.address } }), ... - Source: dev.to / 16 days ago
{ "@context": "https://schema.org", "@type": "BlogPosting", "headline": "How I shipped our analytics migration in 3 weeks", "description": "The exact process I used to move 12 properties from UA to GA4 without losing our minds.", "image": [ "https://acmeanalytics.com/blog/ga4-migration/cover.jpg" ], "author": { "@type": "Person", "name": "Richard Lemon", "url":... - Source: dev.to / 2 months ago
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