Solutions · Platform 05
WhatsApp Evidence Transcription
Hours of voice notes into a searchable, court-ready record.
The platform ingests WhatsApp chat exports and video recordings, then produces a structured spreadsheet where every text message and voice note is transcribed, translated to English, timestamped and attributed to the correct speaker.
20×
faster than human translation — a 15-minute two-speaker isiZulu conversation processed in under 20 minutes, versus 4–6 hours
99%
cost reduction — roughly R7 of cloud transcription against R2 000–R4 000 quoted by certified translators
8
South African languages handled natively, including fast code-switching within a single conversation
Purpose-built for South African audio — isiZulu, isiXhosa, Sesotho, Sepedi, Xitsonga, Tshivenda, Afrikaans and English — including the code-switched conversations that break every off-the-shelf tool.
Key capabilities
- Multi-language, multi-engine transcription. The best speech-recognition model is chosen per language.
- Automatic speaker separation. Voice diarisation labels who spoke when in multi-party conversations — no manual splitting.
- English translation and topic summaries. Every message gets a natural English translation plus a short essence line for fast triage.
- Forensic-grade output. Timestamped spreadsheet with model versions, language codes and generation parameters recorded on a dedicated case-info sheet — a full audit trail.
- Synced video viewer. An optional player highlights the current utterance as the video plays, for review with counsel or witnesses.
Privacy-first architecture
Text messages never leave the machine.
Only audio segments touch cloud speech-to-text — and even that is optional: an entirely local transcription path is available for privileged or legally sensitive matters.
Confidence-driven triage
Focus on the 20% that matters.
Every utterance carries a machine confidence score, so reviewers can concentrate on the segments that matter and skim the rest.
Who it’s for
Litigation support, corporate investigators, HR investigations and journalists.
Any team that needs to make sense of large volumes of WhatsApp audio quickly and defensibly.
Ready to see it against your own operation?
Bring a single site, a sample dataset or your current compliance pack. We will show you what the platforms produce before you commit to anything.