WAAS VS audioclerk

Compare WAAS vs audioclerk and see what are their differences.

WAAS

Whisper as a Service (GUI and API with queuing for OpenAI Whisper) (by schibsted)

audioclerk

Transcribe audio to text, watch folders to auto transcribe audio (by kardianos)
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WAAS audioclerk
12 1
1,743 13
1.4% -
7.0 0.0
12 days ago about 1 year ago
JavaScript Go
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

WAAS

Posts with mentions or reviews of WAAS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-20.

audioclerk

Posts with mentions or reviews of audioclerk. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-12.

What are some alternatives?

When comparing WAAS and audioclerk you can also consider the following projects:

whisper - Robust Speech Recognition via Large-Scale Weak Supervision

whisper.cpp - Port of OpenAI's Whisper model in C/C++

transcribe-anything - Input a local file or url and this service will transcribe it using Whisper AI. Completely private and Free 🤯🤯🤯

whisper_mic - Project that allows one to use a microphone with OpenAI whisper.

frogbase - Transform audio-visual content into navigable knowledge.

whisper-playground - Build real time speech2text web apps using OpenAI's Whisper https://openai.com/blog/whisper/

nlp

openai-whisper-cpu - Improving transcription performance of OpenAI Whisper for CPU based deployment

ai-notes - notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

whisper-asr-webservice - OpenAI Whisper ASR Webservice API