Speak AI (speakai.co) is a conversational intelligence and transcription platform used to capture, transcribe, translate, and analyze language data. According to its official introduction, it has been built since 2018 and is positioned to provide conversational intelligence and transcription capabilities for teams, and has been used by 300,000+ individuals and teams.
Main capabilities
- Automatic meeting capture: The meeting assistant can join Zoom, Teams, Meet, and Webex, capture audio and generate transcriptions, summaries, and key points, turning every call into a searchable library. It supports automatically joining scheduled meetings, as well as in-person, virtual, mobile, and embedded capture.
- Transcription and translation: After uploading or live capture, obtain transcriptions with speaker identification and timestamps, support 100+ languages and translation, and make them searchable and editable.
- Analysis and structuring: Create charts and dashboards from transcriptions and extracted fields, automatically extract custom fields and scores, perform topic, sentiment, and multimodal analysis, and visualize trends across the entire dataset.
- Sharing and export: A searchable media library, embeddable players, and customer-facing widgets, with support for exporting CSV and JSON, and connecting to existing technology stacks via API.
- AI agents: Build voice, phone, video, and text agents based on a knowledge base. Real-time agents can answer calls, hold conversations, and when needed warm transfer to a human agent who has been briefed with an AI summary; after the call, agents can batch score, tag, and extract structured data from existing recordings. Supports structured output, data collection, routing, human takeover, and white-label embedding.
- Multi-model selection: Supports Claude, ChatGPT, and Gemini, allowing selection by task or bring-your-own-key; transcription is routed across multiple engines to adapt to different audio, accents, and terminology, avoiding lock-in to a single vendor.
- MCP, API, and integrations: Provides 100+ MCP tools that can be connected to Claude, ChatGPT, and Cursor in about 60 seconds, with no terminal, npm, or configuration required; connects hundreds of applications through an integration layer and a full developer API.
How to use
Officially, its typical starting workflow is capture, transcribe, analyze, and share. The meeting assistant can automatically join major meeting platforms, embedded recorders can capture from any webpage, and the iOS and Android apps support on-site capture, with all content flowing into the same media library. Users can create a free account to try the platform, or book a demo to plan a custom build.
Use cases
The officially listed applications include: an insights engine (transcription, theming, scoring, and packaging of interviews, questionnaires, and focus groups into customer-facingresearch deliverables), a call scoring application (scoring sales, support, and success calls according to your own scoring criteria), custom meeting assistants, branded iOS and Android apps, white-label customer platforms, and qualification and reception agents. Sales teams usually start with sales conversation intelligence, scoring every sales call according to their own methodology and turning it into coaching content.
Limitations and information not provided
The official materials do not provide specific free quotas, pricing, or plan details (only indicating that the pricing page can be viewed). Regarding data storage locations, a specific list of security certifications, and similar matters, the official materials state that security documents can be shared on request, and that HIPAA-related business associate agreements (BAA), custom data processing agreements, SSO, and data residency options are supported for healthcare, legal, and financial teams; the specific scope must be determined on a per-need basis.