Voaise turns regional-language audio into transcripts, captions, notes, searchable documents, and archive records for the people building India's AI-first language future.
Built around Indian-language reality, not English-first assumptions
Primary Workflows
YouTubers, podcasters, and educators can convert Indian-language audio into subtitles, show notes, blog drafts, and publishing-ready transcripts.
Reporters can capture multilingual interviews, preserve timestamps, search key quotes, and export transcripts for fast editing.
Researchers can keep language, location, speaker context, text prompts, and transcript output together for better academic records.
Schools, universities, cultural groups, and teams can preserve lectures, community recordings, meetings, and public programs.
The Voaise Archive captures voice, typed text, language, dialect, and location metadata with explicit consent for language AI improvement.
Teachers can convert lectures into notes, captions, and study records for students who learn better from text and searchable material.
How It Works
The same engine can serve publishing, education, journalism, research, institutional documentation, and long-term language preservation.
Use mic input, file upload, or captured video.
Identify language, script, dialect, and context.
Generate editable text with timestamps and speakers.
Correct terms, names, dialect words, and formatting.
Use TXT, DOCX, PDF, SRT, or archive-ready records.
Mission-Critical Use Case
The archive workflow captures a voice sample, the text being spoken, language and dialect details, location context, and audio-quality signals so future models can learn from clean, consented, well-described voice data.
Open Recording Studio