Clarity and Traceability for Multi-Speaker Digital Evidence

Differentiate multiple speakers within recorded digital evidence so reviewers can clearly follow conversations, identify who spoke at specific moments, and maintain traceability during evidence review.

Clarity and Traceability for Multi-Speaker Audio Evidence
Speaker Differentiation

Speaker Differentiation

Automatically distinguish multiple speakers within recorded digital evidence so spoken content can be clearly attributed during review.

Conversation Clarity

Conversation Clarity

Separate spoken dialogue by speaker to help reviewers follow conversations embedded within digital evidence more easily.

Speaker Traceability

Speaker Traceability

Enable reviewers to understand who spoke at specific points in a recorded conversation, supporting clearer interpretation of audio evidence.

Recorded Evidence Review

Recorded Evidence Review

Apply speaker-differentiated transcription across digital evidence containing spoken content to support clearer and more structured review.

Make Multi-Speaker Evidence Easier to Review

Convert Spoken Conversations into Structured, Reviewable Text

Automatic speech recognition generates text transcripts from spoken content within digital evidence, allowing reviewers to examine conversations in written form instead of relying solely on playback. Speaker differentiation adds structure by separating contributions from different speakers.

Convert Spoken Conversations into Structured, Reviewable Text

Improve Review Accuracy for Multi-Speaker Recordings

By distinguishing speakers within recorded evidence, automatic speech recognition reduces confusion when multiple voices are present. This helps reviewers follow conversations more accurately without repeatedly replaying recordings.

Improve Review Accuracy for Multi-Speaker Recordings

Reduce Manual Effort During Audio Evidence Review

Speaker-differentiated transcription minimizes the need for manual note-taking during review. Reviewers can focus on understanding spoken interactions within evidence rather than repeatedly listening to recordings.

Reduce Manual Effort During Audio Evidence Review

Support Traceability During Audio Review

Speaker-separated transcripts help users understand who said what during recorded interactions. This traceability supports clearer documentation and more structured review of interview and call recordings.

Support Traceability During Audio Review

Turn Overlapping Speech into Clear Evidence

The Intelligent Path from Evidence to Resolution

Collect-1

Collect

Get evidence into your system. Upload files from any device or pull them in automatically from connected sources like bodycams or cloud storage.

Store-2

Store

Keep all your evidence in one secure, central location. Organize it by case and control who can access it, with protection for sensitive information.

Review & Process

Review & Process

Work with your evidence. Use tools to search, analyze, annotate, and redact videos and documents right within the platform with your team.

Share & Preserve

Share & Preserve

Close the loop. Share finalized evidence securely with prosecutors or other agencies or archive it to meet long-term legal requirements.

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