Ecango
Ecango is an AI-powered audio and video transcription tool that converts spoken content into accurate, searchable text in seconds. Users can upload or drag and drop audio or video files, let Ecango generate the transcript, then edit it directly in the browser and export it in popular formats including DOCX, ODT, PDF, SRT, and TXT. It supports transcription, subtitles, and translation across more than 90 languages, dialects, and accents, using advanced speech recognition to deliver up to 99.8% accuracy. Speaker identification and diarization detect different people speaking within the same recording and organize their dialogue into an easy-to-read transcript. Ecango supports popular audio and video formats and automatically handles video files without requiring users to separate the audio first. Its AI can also filter background noise to improve transcription and translation results when recordings are less than ideal.
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RiverScript
Transcribe everything you can hear on your computer
Capture and turn into text everything you can hear on your computer – meetings, podcasts, any videos with Live Recording Transcription from RiverScript. Your sound – your rules. A multi-model AI architecture combining leading speech recognition models from ElevenLabs, OpenAI and Deepgram. Interactive editor, timecodes, speaker diarization. Lightning-fast desktop client for Windows and macOS, built on Rust. Supports audio and video files up to 50 GB and 8 hours long.
● works with audio and video files up to 50 GB, including batch uploads
● has a built-in editor and an interactive media player
● translates transcripts into other languages with AI
● generates subtitles with clickable timestamps
● performs speaker diarization
● creates AI-powered summaries
● lets you ask AI anything about your transcript
RiverScript – transcribe everything!
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MAI-Transcribe-1.5
MAI-Transcribe-1.5 is Microsoft AI’s production-ready speech-to-text model for turning noisy audio into highly accurate, domain-aware transcripts across 43 languages. It delivers consistent, high-accuracy transcription across languages, accents, speaking styles, and challenging audio conditions, with automatic language detection included. The model is designed for real-world audio where speech often comes through conference rooms, phone lines, busy streets, low-quality recordings, background noise, and overlapping speakers. MAI-Transcribe-1.5 adapts transcription to domain-specific terminology, making it ready for captions, call analysis, accessibility, meeting transcription, doctor’s notes, pharma customer calls, content workflows, and other enterprise speech use cases out of the box. It uses contextual biasing to improve recognition of specialized vocabulary, names, industry language, and terms that generic transcription systems may miss.
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Gemini 3.5 Transcribe
Gemini 3.5 Transcribe is Google’s most precise speech-to-text model yet, designed for intelligent voice interactions and real-time transcription. Instead of simply converting speech word for word, it turns raw audio into accurate, polished, formatted text while handling background noise, complex jargon, accents, dialects, and natural speaking patterns. Smart transcription automatically understands self-corrections, removes filler words such as “ums” and “ahs,” and formats the final text for readability. The model supports continuous bidirectional streaming with sub-second latency for interactive voice applications, as well as pre-recorded audio processing for meetings, call logs, and other recordings with speaker attribution and word-level timestamps. Custom vocabulary helps it recognize specialized terminology, unique spellings, postal codes, order IDs, and other domain-specific language.
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