Automatically transcribe and summarize your calls with AI-powered meeting notes, action items, and key insights in seconds.
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Give custom instructions to your agent, all in natural language.
Use-cases
Boost agent productivity instantly
Eliminate 40-60 seconds of after-call work per interaction. Enable agents to focus on customers instead of note-taking, reduce agent stress and burnout, and increase call-handling capacity by up to 40%.
Accelerate sales follow-up success
Convert conversations into immediate action items and prioritized leads. Automatically detect high-intent prospects from call signals, create or update CRM records and tasks, and schedule follow-ups to capture revenue opportunities.
Enhance compliance monitoring effortlessly
Cover 100% of calls for quality assurance with automated analysis. Automatically flag compliance issues, reduce regulatory risk, and enforce consistent standards across all customer interactions.
Unlock customer insights automatically
Automatically analyze conversations at scale to identify recurring pain points, measure satisfaction trends, and surface actionable opportunities that drive improvements in customer experience and retention.
Streamline manager coaching effectiveness
Generate data-driven coaching insights from recorded interactions. Identify skill gaps, prioritize coaching actions, deliver targeted feedback, and track agent performance using consistent conversation-level metrics.
Learn more
Transcribe Calls
Capture audio and transcribe calls using AI to produce searchable transcripts.
Summarize Calls
Auto-generate call transcripts with speaker labels and timestamps, full-text search, and export options for archiving or attaching to contact records.
Extract Action Items
Extract next steps, assign owners and due dates from call transcripts, and create tasks in CRM, email, or project tools.
Benefits
Never miss details with real-time transcription and meeting notes
Automatically transcribes calls and converts audio into structured meeting notes that list key points, decisions, blockers, and insights, so participants can focus on the conversation instead of taking notes.
Instant action items and next steps captured
Transcribe calls in real time and generate structured meeting notes that capture key points, decisions, blockers, and insights, available immediately for sharing, search, and archival.
Faster CRM and documentation updates
Skip repetitive data entry. Summaries map key details from calls into CRM notes, deal updates, and support tickets, keeping records consistent and searchable without manual retyping.
Searchable transcripts and easy team handoffs
Every call becomes a searchable transcript with a concise summary. Search transcripts by keyword, share context with stakeholders, and onboard teammates without replaying hour-long recordings.
Compliance, quality review, and coaching at scale
Keep an auditable record with standardized call summaries. Identify sentiment indicators, risk flags, and coaching opportunities to improve call quality and ensure consistent documentation across the team.
Works across tools, languages, and formats
Transcribe and summarize calls from Zoom, Google Meet, Teams, and phone, with support for multiple languages and accents, centralizing meeting notes, action items, and key insights.
FAQ
What is an AI call summarizer and how does an AI call summarizer work for live and recorded calls?
An AI call summarizer uses speech-to-text and natural language processing to transcribe conversations and generate concise meeting notes that retain key points, decisions, and next steps, reducing manual note-taking workload. Slack's overview of AI summarization explains how AI condenses audio and video into digestible summaries. Many support resources show how an AI call summarizer can auto-generate summaries after calls or alongside recordings, reinforcing the typical workflow for automated call notes.
Can an AI call summarizer automatically capture action items, owners, and due dates and sync tasks to CRM, email, or project tools?
An AI call summarizer extracts action items, assigns owners and due dates, and converts conversation details into trackable tasks. The system integrates with CRM platforms, email systems, and project management tools to automatically populate deal updates, support tickets, and task lists without manual data entry.
Will an AI call summarizer provide real-time transcription and AI-powered meeting notes so a team never misses details?
An AI call summarizer supports real-time transcription and live meeting notes, allowing full engagement during conversations while accurate, searchable text and highlights are captured automatically. Leading platforms document AI-generated call summaries for ongoing phone conversations, validating real-time use cases for teams that need instant context and follow-ups.
How does an AI call summarizer support compliance, quality review, and coaching for call centers and sales teams?
An AI call summarizer standardizes call summaries and preserves an auditable record, making compliance checks and quality assurance more consistent. The same AI call summarizer surfaces sentiment cues, risk flags, and coachable moments at scale to improve performance across teams, aligning with common QA practices documented by call-center tooling vendors.
Are searchable transcripts available, and how does an AI call summarizer speed up CRM notes, deal updates, and support tickets?
Searchable transcripts accompany concise summaries, enabling keyword search and handoffs without re‑listening to full calls. Structured details (action items, owners, timestamps) can be pushed into CRM and support systems to reduce manual entry and speed CRM notes, deal updates, and ticket creation.
What languages and accents does an AI call summarizer support, and which platforms (Zoom, Google Meet, Microsoft Teams, phone) is it compatible with?
Support varies by vendor. Providers commonly offer native or integrated support for Zoom, Google Meet, Microsoft Teams, and PSTN/phone calls. Language and accent coverage depends on the speech model and audio quality; vendors publish supported languages, dialects, and per-language accuracy or model options in their documentation. Outputs, including searchable transcripts, concise summaries, and extracted action items with owners and due dates, can be centralized in a single workspace or exported to CRMs, calendars, and project tools via integrations or APIs.
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