Call centre transcription at the scale your archive actually needs
Bulk transcription for thousands of calls per day. Score 100% instead of 2%. Surface compliance issues before the regulator does.
The recordings already exist. Nobody is reading them.
The recordings exist. They've existed for years. Tens of thousands of customer conversations sitting in cold storage, unsearchable, audited only when something has already gone wrong.
Transcrify turns that archive into something operationally useful. Bulk transcription scales to thousands of calls per day. Every conversation becomes searchable text — agent and customer labelled separately — feeding QA scoring, compliance flagging, dispute resolution, and trend analysis. The contact-centre supervisor who used to sample 1% of calls can now actually answer the question "did agents say the disclosure on every call last quarter?" with a search instead of a stratified sample.
For regulated industries — finance, insurance, healthcare — the same audit trail satisfies recordkeeping requirements without anyone manually logging calls.
Built for high-volume contact-centre operations
When 1% sampling is a regulatory liability, 100% coverage stops being optional.
Bulk processing at scale
Tens of thousands of calls a day, processed in parallel. No queue overflow.
100% QA coverage
Score every call instead of sampling 2%. Spot patterns instead of catching anomalies by luck.
Compliance keyword flagging
Configurable alerts for required disclosures, prohibited language, or specific risk phrases.
Sentiment and trend analysis
Trace customer sentiment across thousands of interactions. See where the heat is building before it boils over.
PCI / sensitive-data redaction
Card numbers and personally-identifying segments auto-redacted from transcripts before storage.
CRM and QA platform integration
Push transcripts and summaries into NICE, Verint, Genesys, Salesforce, ServiceNow — wherever your operations actually run.
From recording to insight at scale
- 1
Pipe in your archive
Connect Transcrify to your storage (S3, GCS, on-prem). New recordings stream in automatically.
- 2
Process at volume
1,500 calls a day get transcribed in the background, agent and customer labelled separately.
- 3
Surface what matters
Search compliance keywords. Run QA scorecards across the full sample (not 1%). Spot trending complaint topics.
- 4
Close the loop
Push call summaries into your CRM ticket so the next agent picks up where the last one left off.
How a call archive becomes operational data
Connect your recording storage
S3, GCS, on-prem — Transcrify pulls new recordings automatically as they land.
AI transcribes at volume
Thousands of calls processed per day, agent and customer labelled separately, sensitive data redactable.
Surface what matters
Score 100% of calls, search compliance keywords, flag complaint trends, push insights into your CRM.
Where contact centres put it to work
Quality, compliance, dispute resolution, training — wherever calls used to disappear into storage.
Quality monitoring at scale
Review and score every call — not a 2% sample — with searchable transcripts and configurable scorecards.
Compliance auditing
Search for required disclosures, prohibited terms or risk phrases across the full call archive.
Agent coaching
Use real call transcripts as training material — anonymised when needed.
Customer voice mining
Surface common complaints, requested features, and recurring confusion across thousands of interactions.
Dispute resolution
Find the exact moment a customer was told something — fast — when a complaint comes in.
Performance reporting
Data-driven dashboards on resolution rates, talk-time patterns and customer satisfaction.
How a 240-agent contact centre caught two compliance issues in month one
"We went from QA sampling 2% of calls to scoring 100%. The first month, we found two compliance issues that would have cost us seven figures if a regulator had found them first."
The contact centre had 240 agents handling roughly 9,000 calls per day. QA sampled 2% of calls — about 180 per day — and scored them manually. Compliance audits relied on the same sample. Anything outside that 2% was effectively invisible.
They integrated Transcrify with their call-recording platform. Within the first week, every call was being transcribed in the background. Within the first month, automated keyword search across the full 100% sample surfaced two specific compliance issues — both unrelated to anything QA had flagged on the manual sample.
The auditors' job didn't get smaller — it got more strategic. Instead of scoring random calls, they now investigate flagged ones. The cost of a regulatory miss in their industry runs into seven figures; the system has effectively paid for itself an order of magnitude over.
Common questions from contact-centre operations
Can it really scale to thousands of calls per day?
How is agent vs customer identified?
Can I integrate it with my QA software?
What about PCI and sensitive data in calls?
Where are recordings processed?
See what 100% QA coverage looks like
Upload a sample of last month's calls. We'll show you what your archive has been hiding.