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- Products
- Pocket AutoML
- Alternatives
The best alternatives to Pocket AutoML are Lobe, GPT-4o, and Deepgram. If these 3 options don't work for you, we've listed a few more alternatives below.
What do you think of Pocket AutoML?
Tanka — Tanka = Slack + Glean, built for fast-growing startups.
PromotedBest alternatives to Pocket AutoML
- Lobe is an easy-to-use visual tool that lets you build custom deep learning models, quickly train them, and ship them directly in your app without writing any code.
- GPT-4o (“o” for “omni”) is our versatile, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is the best model for most tasks, and is our most capable model outside of our o-series models.
- Enterprise Voice AI platform designed for developers building voice-first products using speech-to-text, text-to-speech, or speech-to-speech APIs. Over 200,000 developers build with Deepgram's voice-native foundational models, accessed via APIs or self-managed software. Start building with $200 in free credits!
- A curated list of awesome deep learning projects
- Develop, train, and deploy AI applications. Join over 500,000 builders on Paperspace.
- Code free way to create a deep learning system. Use it to overlay marketing images, count objects, and setup custom conditions, such as alerts. Send data via email, or upload on the web. Optionally, scale deployment with your software team as your needs grow.
