
Eleven Labs
Vapi
Speechmatics
AssemblyAI
Cartesia Sonic
Otter.ai
Fraim
Search engine for speech

Exercise dataset for fitness apps: transparent background, animations, no subscription

Which is more popular?
Based on our record, Deepgram seems to be more popular. It has been mentioned 34 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | deepgram.com | repdb.co |
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| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Deepgram yet.
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...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
Deepgram CEO Scott Stephenson | Machine Meets World
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Deepgram and RepDB.
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.
Share your experience with using Deepgram and RepDB. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


If your voice agent relies on precise understanding of customer speech, go for Deepgram. It is a highly reliable option if you are looking for a ready-made customer service agent.
Deepgram, a powerful voice AI platform that has an option for flexible deployment with enterprise-level security. Its models include speech-to-text (STT) , text-to-speech (TTS), and spoken language understanding.
Deepgram is an AI transcript platform that uses machine learning to develop accurate transcripts. This software tool works at an incredibly high speed with real-time enablement available. The system links completed...
We have no reviews of RepDB yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Deepgram changed the maths. Their Nova-3 model does real-time streaming transcription fast enough that the text appears as you speak, not after. And the free tier gives you $200 in credit, which is roughly 12,000 minutes of... - Source: dev.to / 5 months ago
Deepgram is a voice AI application creation platform. Developers can use its API to build audio apps with text-to-speech, speech-to-speech, and speech-to-text models. To experience and see how Deepgram works, visit the URL above and try... - Source: dev.to / 7 months ago
Modern ASR systems (such as Whisper, Deepgram, or custom domain-tuned models) are now robust enough to operate in factories, warehouses, and construction sites where noise floors routinely exceed safe listening levels. - Source: dev.to / 8 months ago
Tracking RepDB since Jul 2026.
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