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AssemblyAI

AssemblyAI is an AI-powered Audio & Music tool — AI speech recognition and audio intelligence API. Best for: Speech to Text & Audio Editing. Pricing: Freemium (GateOnAI Score: 55/100).

AI speech recognition and audio intelligence API

FreemiumVerifiedSpeech to TextAudio EditingNoise RemovalAudio TranscriptionSentiment Analysis

Provides high‑accuracy speech‑to‑text conversion via a REST API that accepts audio files or streaming data. The engine supports multiple languages and returns timestamps for each word, enabling precise alignment. Built‑in speaker diarization separates up to six speakers, while word‑level confidence scores help downstream validation. Users can upload files up to 2 GB, and the service handles common formats such as MP3, WAV, and MP4. A real‑time streaming endpoint supports low latency for live captioning, and the service returns confidence intervals per segment. Metadata extraction includes automatic language detection and audio duration reporting. Beyond transcription, the API offers audio intelligence features. Sentiment analysis tags each utterance as positive, neutral, or negative, useful for call‑center monitoring. Content moderation flags profanity, hate speech, and personally identifiable information. Topic detection extracts key subjects, and automatic summarization condenses long recordings into concise bullet points. A custom vocabulary endpoint lets developers add domain‑specific terms to improve accuracy for medical, legal, or technical jargon. Audio classification distinguishes music from speech, while keyword spotting highlights predefined terms in real time. Webhook callbacks deliver transcription status and final results to a developer‑specified URL. The platform targets developers, podcasters, and enterprises that need scalable voice processing. Free tier provides 500 minutes per month with rate‑limited requests; paid plans unlock higher throughput, SLA guarantees, and dedicated support. Integration examples include real‑time captioning for webinars, automated meeting minutes for SaaS products, and searchable archives for media libraries. Documentation includes SDKs for Python, Node, and Java, plus a web console for quick testing. Pricing is usage‑based, billed per minute of processed audio, so costs scale with actual demand. Enterprise contracts can request on‑premise deployment for data‑privacy compliance, with SLA guarantees up to 99.9% uptime. A command‑line interface enables batch processing of large archives without writing code.

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