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Creating images from text, from Open AI

Exercise dataset for fitness apps: transparent background, animations, no subscription
Which is more popular?
Based on our record, DALL-E seems to be more popular. It has been mentioned 199 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | openai.com | repdb.co |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from the United States | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of DALL-E 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
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of RepDB yet.
Walkthroughs and reviews on video.
A GPT-3 for Images? Dall-E is the most impressive AI ever created!
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DALL-E 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 DALL-E 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.


With DALL-E 3, the pricing is straightforward. For $15, you receive 115 credits, each allowing you to generate one image prompt. Each prompt delivers four images, breaking down the cost to roughly 3 cents per image....
Using advanced algorithms, DALL-E 2 predicts and extends your image to build an entire scene that seamlessly matches your original image. This innovative feature gives you the complete creative freedom to edit your AI...
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Recommendations tracked on public social media and blogs since March 2021.


Look, not to brag but DALL-E's "armchair in the shape of an avocado" was mine (https://openai.com/index/dall-e/). I remember trying to convey the gravity of this capability to my friends at the time, who I guess were not as impressed as me. - Source: Hacker News / 3 months ago
Look, not to brag but DALL-E's "armchair in the shape of an avocado" was mine (https://openai.com/index/dall-e/). - Source: Hacker News / 3 months ago
OpenAI's livestream of GPT-4o Image Generation shows that it is slowwwwwwwwww (maybe 30 seconds per image, which Sam Altman had to spin "it's slow but the generated images are worth it"). Instead of using a diffusion approach, it appears... - Source: Hacker News / over 1 year ago
Tracking RepDB since Jul 2026.
When comparing DALL-E and RepDB, you can also consider the following products.

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Experience the magic of turning a text description into beautiful images in a matter of seconds. Ideogram works directly in your browser without needing to download any application or software.
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Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.
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