Subanana
Subanana is an AI speech-to-text web app that turns audio and video into subtitles, transcripts, and meeting summaries in 80+ languages, with standout accuracy on Asian and mixed-language speech (Cantonese, Mandarin, Japanese, Korean, and code-switching) that English-first tools handle poorly.
Subtitles: import a file or a YouTube/Instagram/Facebook link, edit with a glossary and AI auto-correct, and export SRT, VTT, TXT, DOCX, bilingual subtitles, or burned-in video.
Transcripts: speaker labels, filler-word removal, automatic punctuation and paragraphs.
Meeting summaries: templates, decisions and action items, plus a Google Meet and Microsoft Teams recording bot that processes the meeting after it ends.
Live captions: real-time captioning with translation for events.
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Otter.ai
Otter is where conversations live. Generate rich notes for meetings, interviews, lectures, and other important voice conversations with Otter, your AI-powered assistant. Organizations who have the Otter advantage. Teams big and small trust Otter to transcribe their important conversations. Our shiny new release, Otter 2.0, adds more functionality to improve collaboration and productivity. The Teams plan includes capabilities designed especially for small and medium businesses and teams in larger enterprises. Record and review in real time. Search, play, edit, organize, and share your conversations from any device. Record conversations using Otter on your phone or web browser. Import or sync recordings from other services. Integrate with Zoom. Get real-time streaming transcripts and, within minutes, rich, searchable notes with text, audio, images, speaker ID, and key phrases. Share or export voice notes to inform others and get on the same page.
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Amazon Transcribe
Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy. Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, automate subtitling, and generate metadata for media assets to create a fully searchable archive.
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Rev
Rev is an Investigative Intelligence Platform that helps legal and investigative teams find, analyze, cite, and organize critical evidence faster. The platform supports evidence analysis across recordings, depositions, police reports, body cam footage, medical records, Word documents, PDFs, TXT files, audio, and video. Rev provides AI and human transcription, with AI transcription for early review and human transcription for higher-accuracy legal use cases. Users can ask questions across evidence files, surface contradictions, reconstruct timelines, create memos, draft case summaries, and keep every answer cited to the source record. The platform also supports transcript editing, timestamped clipping, secure sharing, mobile dictation, and document export to PDF or Word. Built for lawyers, law enforcement, court reporters, and investigative teams, Rev helps users turn evidence files into searchable, citable, and defensible case records.
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