Query your OtterText meetings with semantic search
Swiftask indexes your OtterText transcripts to enable high-precision semantic search. Stop searching for keywords, start finding meaning.
Result:
Instantly access the exact information you need, even buried in hours of meetings.
AI Agents
ottertext
Connector ottertext · Secure OAuth 2.0
The struggle of finding information in transcripts
You have hundreds of OtterText transcripts, but finding a decision made months ago is a nightmare. Classic keyword search fails to account for context and synonyms.
Main negative impacts:
Loss of critical insights
Important decisions, client commitments, or strategic ideas are lost in the mass of accumulated text.
Excessive search time
Your team spends hours re-reading transcripts to find one specific detail.
Disconnected knowledge
Knowledge shared in meetings isn't actionable, creating useless information silos.
Swiftask connects your OtterText transcripts to a semantic search engine. The AI understands the intent of your question and extracts the exact answer from your documents.
BEFORE / AFTER
What changes with Swiftask
Classic keyword search
You search for 'project budget'. You get 50 results mentioning 'budget' and 'project' separately. You have to open each file to check if it's relevant.
Semantic search with Swiftask
You ask: 'What is the approved budget for Project X?'. Swiftask understands the meaning, analyzes the transcripts, and gives you the direct answer with the source.
Activating semantic search in 4 steps
1
STEP 1 : Connect your OtterText account
Link your OtterText account to Swiftask to enable automatic import of your new transcripts.
2
STEP 2 : Intelligent data indexing
Swiftask converts your transcripts into semantic vectors, capturing context and relationships between topics.
3
STEP 3 : Configure the search agent
Define the search scope (e.g., all meetings, or only those related to a specific project).
4
STEP 4 : Natural language querying
Use the Swiftask chat to ask questions about your meetings just like you would with a colleague.
Key features for your transcripts
The AI analyzes semantic context, tone, and named entities within your meetings.
- Target connector: The agent performs the right actions in ottertext based on event context.
- Automated actions: Natural language search across the entire OtterText history. Automatic synthesis of answers based on multiple sources. Citation of source excerpts. Filtering by date, participant, or project.
- Native governance: Semantic search is updated in real-time as soon as a new meeting concludes.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-ottertext@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Operational benefits of semantic search
Increased precision
AI understands context, eliminating the noise of simple keyword searches.
Massive productivity gain
Reduce the time spent looking for information from minutes to seconds.
Knowledge capitalization
Turn your meetings into a lasting and queryable information asset.
Contextual answers
Get complete answers that synthesize multiple meetings on the same topic.
Security and compliance
Your data remains private and secure within your Swiftask instance.
Security and privacy
Swiftask applies enterprise-grade security standards for your ottertext automations.
- Data encryption: All your transcripts are encrypted at rest and in transit.
- Data isolation: Your OtterText transcripts are never used to train public models.
- Granular access control: Precisely manage who can query which transcripts within your organization.
- GDPR compliance: Architecture designed to meet European data protection standards.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your internal efficiency
| Metric | Before | After |
|---|---|---|
| Search time | 10-20 min per search | Under 5 seconds |
| Result relevance | Low (keywords) | High (context) |
| Data usage | Forgotten meetings | Active knowledge base |
Take action with ottertext
Instantly access the exact information you need, even buried in hours of meetings.