Audio data challenges for nonprofits and social purpose organisations
Field interviews, focus group discussions, and meetings generate large volumes of audio that remain undocumented
Manual transcription is time-intensive and slows down reporting cycles
Multi-speaker conversations and qualitative data are difficult to analyse at scale
Tools like AssemblyAI convert audio into structured text and extract insights such as sentiment, topics, and summaries, making voice data usable for monitoring, evaluation, and documentation
Key capabilities of AssemblyAI
Indian language support
Limited support; Indian language coverage is currently restricted—organisations should verify requirements before deployment
Pricing for nonprofits
Free tier
Limited usage for development and small-scale testing
Usage-based pricing
Charged per minute of audio processed across features
Nonprofit pricing
No public discount listed; organisations need to contact AssemblyAI directly


