Speech-to-text-nodejs Alternatives

Similar projects and alternatives to speech-to-text-nodejs

Textractor

75 1,924 2.9 C++ speech-to-text-nodejs VS Textractor

Extracts text from video games and visual novels. Highly extensible.
SurveyJS

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Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better speech-to-text-nodejs alternative or higher similarity.

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speech-to-text-nodejs reviews and mentions

Posts with mentions or reviews of speech-to-text-nodejs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-03.

Transcription Tools for my second brain
1 project | /r/PKMS | 7 Aug 2022

One option not on your list is this free online API demo of IBM Watson (ignore the "(i) A new Speech to Text demo is available, check it out here." banner).
Apps for converting audio files to text
1 project | /r/macapps | 27 Jul 2022

One free option is using IBM Watson online here: https://speech-to-text-demo.ng.bluemix.net
An analysis of flaming casters in DotA2: scientifically addressing the credibility of common criticisms
1 project | /r/DotA2 | 11 Dec 2021

One of the loudest complaints people seem to have about individual flaming casters is difficulty in understanding their voices during the heat of battle. To scientifically address this, I picked a voice line for each caster and ran it through a speech to text program (https://speech-to-text-demo.ng.bluemix.net/). Comparing the expected text of the voice line to the transcribed version by the program revealed interesting data (see Table 2 below). While there were some heroes that were fairly comprehensible (Batrider, DawnBreaker, Invoker, Snapfire, and especially Lina, who scored a perfect score), it became clear that this criticism had a significant amount of validity; 9/14 (64.3%) flaming casters are practically incomprehensible. Phoenix is the worst offender of this group, whose squawks are completely unintelligible, followed not far behind by other poor speakers such as Doom (“Mess with Doom, you get the horns” was only heard as “Yes”). Given a significant majority of flaming casters cannot be easily understood, it is hard to discount this criticism.
Has anyone got a link to auto translate software, or the appropriate place for this post
2 projects | /r/techsupport | 3 Jun 2021

First I would like to take live conversation audio and translate it into text format, there is a dev side thing here.
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www.saashub.com | 4 May 2024

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