Accurate speech-to-text and NLP solutions for various applications.
Accurate speech-to-text and NLP solutions for various applications.
Rev AI offers a suite of speech-to-text (STT) and natural language processing (NLP) solutions. The core is built upon open-source ASR and diarization models (Reverb and Reverb Turbo). It provides APIs for asynchronous and streaming speech-to-text, language identification, sentiment analysis, topic extraction, summarization, translation, and forced alignment. Rev AI's speech models are trained on a large and diverse dataset of human-transcribed audio, resulting in high accuracy and low word error rates, even with varied accents and languages. It supports multiple languages and offers both machine-generated and human-created transcripts. Rev AI is designed for integration into various applications, providing SDKs and comprehensive documentation. Security is a priority, with SOC II, HIPAA, GDPR, and PCI compliance.
Accurate speech-to-text and NLP solutions for various applications.
Quick visual proof for Rev AI. Helps non-technical users understand the interface faster.
Rev AI offers a suite of speech-to-text (STT) and natural language processing (NLP) solutions.
Explore all tools that specialize in transcribe speech. This domain focus ensures Rev AI delivers optimized results for this specific requirement.
Explore all tools that specialize in process natural language. This domain focus ensures Rev AI delivers optimized results for this specific requirement.
Explore all tools that specialize in sentiment analysis. This domain focus ensures Rev AI delivers optimized results for this specific requirement.
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Utilizes Reverb and Reverb Turbo, high-accuracy open-source ASR and diarization models.
Automatically predicts the dominant language used in an audio or video file.
Extracts positive, negative, and neutral statements from text.
Identifies key topics in text for auto-tagging and content organization.
Precisely timestamps words and phrases in audio for enhanced content searchability and analysis.
Sign up for a free Rev AI account.
Generate a new access token via the Access Token page.
Submit an audio or video file for transcription using the Asynchronous Speech to Text API.
Replace the <REVAI_ACCESS_TOKEN> placeholder with your access token in the API request.
Retrieve the transcript in JSON or plaintext format using the job ID.
Use webhooks to asynchronously receive notifications when the transcription job is completed.
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“Praised for accuracy, ease of use, and comprehensive feature set. Some users note that pricing can be a concern for high-volume use.”
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