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Top Rated Speech Recognition Software with Linux

Last updated: September 2026

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18 software options

Txtplay logo

AI speech-to-text and captioning for web streaming & TV

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Accurate, multilingual speech recognition with up to 99% accuracy. Convert live or recorded audio into readable text in 55+ languages, with flexible cloud or on-prem deployment.

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Klearcom logo

Domestic IVR Mapping In Over 100+ Countries

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Enhance IVR speech recognition with Klearcom’s AI-powered testing in 100+ countries. Our SaaS platform tests toll/toll-free numbers in real-time, using advanced ASR to detect and resolve issues. No installation needed, with 24/7 triage, ensuring seamless IVR performance and customer experiences glob

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Vatis Tech logo

Advanced speech-to-text technology

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Revolutionising Speech Recognition with Superior Accuracy and Affordability.

Vatis Tech’s API provides advanced speech-to-text technology that automatically converts audio or video files into text with over 95% accuracy, using proprietary deep-learning speech recognition algorithms.

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Speech Recognition Engine logo

AI-enabled speech recognition engine

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LumenVox’s speech and voice software leverages artificial intelligence, natural language understanding, and deep machine learning technologies to deliver speech recognition technology. It includes neural networks to improve the ability to add new languages and dialects and serve a more diverse base of users.

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SoapBox logo

Speech recognition software designed to detect kid speech

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SoapBox Labs builds speech recognition technology for kids. Its proprietary technology has been built to deliver private and accurate results for kids ages 2 to 12 of all accents and dialects. Soapbox Labs also takes into account kids’ unpredictable speech patterns and behaviors.

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ELSA Speech Recognition API logo

Leading Speech Recognition API for Language Learning

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ELSA uses proprietary speech recognition technology and artificial intelligence to help language learners improve their English pronunciation

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Rev.ai logo

Speech recognition software using asynchronous API

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Rev.ai’s suite of speech-to-text APIs allows businesses to build downstream applications. Speech recognition software built from speech engine trained to transcribe content on various topics with various accents for various industries.

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Vocova logo
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AI transcription & translation for audio/video

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Vocova is an AI-powered transcription tool that converts audio and video files into text across more than one hundred languages. The software features automatic speaker identification, word-level timestamps, and the ability to import content directly from over one thousand platforms including YouTube, TikTok, and various podcast hosts. Users can translate transcripts into more than one hundred forty languages and export results in multiple formats such as PDF, DOCX, SRT, and VTT.

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Reteta logo
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Cloud-based medical transcription tool for doctors.

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Reteta is a cloud-based healthcare technology solution that transforms patient-physician conversations into comprehensive medical diagnoses and treatment notes. The platform provides automated speech recognition (ASR) models that allow medical professionals to recognize medical terminology, medication names, and multiple speakers to generate detailed clinical documentation.

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AssemblyAI logo
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Speech to text API with voice AI models

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AssemblyAI provides speech-to-text transcription services through various API offerings, including pre-recorded and real-time transcription capabilities. The platform supports transcription in ninety-nine languages and includes features such as speaker identification, sentiment analysis, content moderation, and PII redaction. Additional functionality includes a Voice Agent API with turn detection and interruption handling, as well as an LLM Gateway for routing between different language models.

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Voximal logo
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A phone platform based on Asterisk propulsed by Voximal

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Voximal is Asterisk's VoiceXML engine with state-of-the-art of latest text to speech and speech to text on-premise or online offer.

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GoVivace logo
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Conversational AI and speech analytics solution

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GoVivace is a conversational AI and speech analytics solution. It provides intelligent omnichannel chatbots and voice bots for businesses of all sizes.

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CSC Voice AI logo
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Cloud-based transcription tool for international meetings.

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CSC Voice AI is a cloud-based transcription solution that transforms multilingual communication in business environments. The platform leverages Azure AI technology to provide instantaneous speech recognition and translation capabilities across twenty-four languages including Turkish, English, Russian, Spanish, French, German, Italian, Japanese, Korean, and Chinese Simplified.

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Audiotype logo
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AI powered transcription software to convert audio to text.

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Audiotype is a transcription software that converts audio and video files into text transcripts and subtitles that are editable.

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AICHE logo
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AI-enabled software that transforms voice into text

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AICHE transforms voice into polished text with one hotkey. Speak naturally - the AI delivers clean, structured output instantly copied to your clipboard. Available on Windows, Mac, Linux with privacy-first zero audio retention.

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Picovoice logo
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Developer-first platform for adding voice to anything

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The first and only ubiquitous on-device voice AI platform. Picovoice offers speech-to-text, voice search, wake word, intent and voice activity detection engines. Its stack can run on anything from embedded devices to web browsers, providing an immersive experience not achievable by any Big Tech.

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VALT logo
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Speech recognition solution

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VALT is browser-based audio/video capture software for healthcare, education, government, and corporate use. It lets users record, manage, stream, and search content with features, including live observation of nine sessions, customizable data templates, and secure sharing.

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Uniphore logo
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So every person, on every call, can finally be heard.

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Uniphore is the global leader in Conversational Service Automation (CSA), which combines the power of artificial intelligence, automation technology and machine learning.

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