Launched in 2019
Pricing
Free trial
Free version

Speak AI is a software platform designed to help teams transcribe, analyze, and derive insights from audio, video, and text data. It uses automated speech recognition and natural language processing to generate transcripts, identify themes, sentiment, and keywords, and surface patterns across large volumes of qualitative data. Users can upload recordings, connect integrations, or record directly within the platform. The tool supports research workflows by enabling bulk analysis of interviews, focus groups, customer calls, and media files. Outputs include visual reports, word clouds, keyword frequency charts, and exportable data. Speak AI targets researchers, marketers, product teams, and business analysts who need to process unstructured spoken or written content at scale without manual coding. The platform offers a web application with team collaboration features, an API for developers, and integrations with common meeting and productivity tools.

Do you work for Speak AI?Claim this product page

Target audience and deployment

  • Solo / Freelancer
  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • API

Aggregated Score

  Submit a review
No reviews yet

Pricing

Pricing details:
Free trial
Free version
View more pricing information

Key features

Automated audio and video transcriptionNatural language processing and sentiment analysisKeyword and theme extractionWord cloud and data visualizationBulk file upload and processingAI-powered search across transcriptsCustom AI model trainingTeam workspaces and collaborationAPI accessSpeaker identificationExport to multiple formatsIn-browser recording

Use cases

  • Transcribe audio and video recordings automatically
  • Analyze qualitative research data at scale
  • Extract insights from customer calls and meetings
  • Visualize language patterns and keyword frequency
  • Build custom AI models on proprietary data
  • Collaborate on transcripts and analysis within teams

Best for

  • Qualitative researchers who need to analyze large volumes of interview and focus group recordings
  • Marketing teams who need to extract themes and sentiment from customer feedback at scale
  • Product managers who need to surface insights from user research sessions and customer calls
  • Developers who need to integrate transcription and NLP capabilities into their own applications via API

Integrations

Automation platforms

Zapier

Communication

Zoom, Microsoft Teams, Google Meet

Developer

Speak AI API

Other

Riverside, Descript