Deepgram VS Cachely.dev
Compare Deepgram VS Cachely.dev and see what are their differences
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Deepgram
Eleven Labs
Vapi
AssemblyAI
Speechmatics
Cartesia Sonic
Otter.ai
Fraim
Cachely.dev
nxCloud
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.
Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.
Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.
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It's fast - but for an API, not the fastest speech-to-text. For a long while I hadn't done research and trusted them. Then tried Whisper and Picovoice. On-device latency is nothing comparable with cloud APIs. If latency is important go with Whisper or Picovoice. If customization is also important go with Picovoice.
don't get me wrong it's still faster than amazon, Microsoft or Assemblyai
Based on our record, Deepgram seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 transcription. That's a lot of talking before you pay a penny. - Source: dev.to / 4 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 the interactive, real-time voice demo on the home page. - Source: dev.to / 6 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 / 7 months ago
Start by hooking up speech-to-text (STT) using something like OpenAIโs Whisper if youโre going open source, or Deepgram if you want a super-accurate plug-and-play API. - Source: dev.to / over 1 year ago
Deepgram specializes in real-time transcription optimized for specific industries and use cases. - Source: dev.to / over 1 year ago
Eleven Labs - The most realistic and versatile AI speech software, ever. Eleven brings the most compelling, rich and lifelike voices to creators and publishers seeking the ultimate tools for storytelling.
nxCloud - nxCloud is a commercial OwnCloud provider
Vapi - Voice AI Infrastructure for the Internet
AssemblyAI - Robust and Accurate Multilingual Speech Recognition
Speechmatics - The most accurate and inclusive speech-to-text API ever released.
Cartesia Sonic - Sonic is the fastest human-like voice API.