Monitor audio uploads, transcribe, analyze sentiment, topics, and intents, visualize results, and notify stakeholders with ready-to-share insights.
The AI agent ingests audio or transcripts and performs transcription when needed. It analyzes sentiment, topics, and intents, generating structured insights. It visualizes sentiment trends, speaker contributions, and key takeaways, and exports reports for sharing.
Performs end-to-end transcript analysis and visualization.
Ingest audio or select an existing transcript.
Transcribe audio to text using a transcription engine.
Detect sentiment, extract topics and intents with confidence scores.
Identify key insights and action items from discussions.
Label speakers accurately and provide timestamped navigation.
Export transcripts and insights to formats and collaboration tools.
Before: manual transcription and scattered insights slow decision-making. After: automated, centralized analysis delivers actionable intelligence quickly.
A simple 3-step process.
Upload an audio file or select an existing transcript to start the analysis.
The AI agent performs transcription (if needed) and analyzes sentiment, topics, and intents.
Review visual dashboards and export insights or trigger follow-ups.
One realistic scenario.
Scenario: A 12-minute customer support call is uploaded. Task: transcribe, identify sentiment shifts, surface top topics and intents, and generate a concise 1-page report. Outcome: a visual dashboard of sentiment over time, a prioritized list of actionable items, and an export to a shared document with a Slack notification to relevant teams.
One supporting sentence.
Quickly surface customer concerns and sentiment trends to guide coaching and response strategies.
Identify objections and messaging opportunities by analyzing objections and questions across calls.
Monitor policy violations and compliance cues within recorded conversations.
Extract feature requests and user pain points from interviews and focus groups.
Summarize episodes, highlight themes, and track speaker contributions.
Automate transcripts processing and reporting workflows across teams.
One supporting sentence with short explanation.
Transcribes audio to text and provides time-aligned transcripts.
Alternative transcription engine used if needed for redundancy.
Backup transcription option and batch processing support.
Performs sentiment, topic, and intent analysis with confidence scores.
Exports structured insights for dashboards and reporting.
Notifies teams with summaries and actionable items.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
The AI agent supports common audio formats (mp3, wav, m4a) and transcripts (txt, json). It can handle multi-file batches and keeps transcripts organized by session. Timestamps and speaker labels are preserved when available. If a transcript already exists, the AI agent will reuse it to save time.
Yes. The AI agent runs on an n8n instance, which can be cloud-based or self-hosted. You can configure inputs, thresholds, and integrations to fit your security and data policies. The system supports batch processing and scheduled runs. Maintenance and updates follow your chosen deployment model.
Data security is implemented through role-based access, encryption in transit and at rest, and configurable data retention. Access can be restricted to authorized users and services. Auditing and logging help verify access and changes. You control where transcripts and insights are stored and shared.
Yes. You can set sentiment thresholds, define topic detectors, and tailor intents to your domain. The AI agent allows schema customization for topics, intents, and action-item extraction. Changes apply to new transcripts and can be versioned for consistency.
Absolutely. The AI agent supports batch processing, queuing multiple transcripts for concurrent analysis. You can configure batch size, concurrency limits, and scheduling. Batch results are aggregated and exported as a single report or segmented by session.
Insights can be exported to Google Sheets, Notion, or Airtable, and notifications can be sent via Slack or email. You can customize trigger events, such as new transcripts or completed analyses, to notify the right people. Reports can include downloadable transcripts and shareable links.
Transcripts can be exported as text or JSON; insights can be exported as structured data in Sheets or Notion pages. Visual dashboards and summary reports can be generated as PDFs or shared documents. You can also attach action items with due dates and owners.
Monitor audio uploads, transcribe, analyze sentiment, topics, and intents, visualize results, and notify stakeholders with ready-to-share insights.
