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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
rubular might be a bit more popular than Deepgram. We know about 35 links to it since March 2021 and only 28 links to Deepgram. 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.
For $5 for 20 hours of audio you can try https://deepgram.com. They give $200 of credit. - Source: Hacker News / about 1 month ago
Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / 6 months ago
There are other AI-powered APIs out there to consider, too. For example, Deepgram can be used to transcribe audio (better than Whisper, offered by OpenAI), ElevenLabs can be used to generate speech from text (including using custom voices, which OpenAI's TTS can't currently do), etc. Depending on what you're trying to make, a combination of these services may be what you need. In any case, Python is going to be... Source: 7 months ago
This guide delves deep into the world of YouTube video summarization, harnessing the power of cutting-edge technologies including Deepgram for superior audio transcription, Langchain for harvesting the power of the LLM, and Mistral 7B, a state-of-the-art and open-source LLM. - Source: dev.to / 8 months ago
Historically it's been challenging to provide closed captioning for live experiences, be it a live interview, a sports game with commentary, or a livestream. But Deepgram's AI tooling has changed this, allowing users to easily convert realtime streams of audio into accurate transcripts. - Source: dev.to / 8 months ago
As a ruby developer, I was happy to find that VS Code / TextMate grammar files use the same regular expression engine called Oniguruma as ruby itself. Thus, I could be sure that when trying my regular expressions in my favorite online regex tool, rubular.com, there would be no inconsistencies due to the engine inner workings. - Source: dev.to / 8 months ago
In my testing on a couple of regex testers (https://rubular.com/ & https://regex101.com/) this seems to select the postcode correctly each time. Source: about 1 year ago
Copied from Rubular ( a nice tool to test regexes ):. Source: over 1 year ago
To add on to this from a regex perspective - I find regex to be invaluable in my workflows. Once you learn the basics I always test and debug my strings using https://rubular.com because it has string hints at the bottom that are readily available. Source: over 1 year ago
Mostly trial and error using pythex.org for python, regextester.com for c/c++, or rubular.com if you're coding in ruby for some reason. Source: over 1 year ago
Speechmatics - The most accurate and inclusive speech-to-text API ever released.
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
Fraim - Fraim is a fully functional transcription service provider that allow the people to download the transcript services in the format that they require and even use the secure Fraim Channel to share the newly and searchable and interactive media with o…
Expresso - The award-winning Expresso editor is equally suitable as a teaching tool for the beginning user of regular expressions or as a full-featured development environment for the experienced programmer with an extensive knowledge of regular expressions.
AssemblyAI - Speech Recognition for Everyone and Everything.
RegexPlanet Ruby - RegexPlanet offers a free-to-use Regular Expression Test Page to help you check RegEx in Ruby free-of-cost.