Voice Transcription
Enterprise-grade speech-to-text built specifically for the acoustic challenges of telephone and contact center audio — background noise, codec artifacts, accent variation, and simultaneous speech.
99.2% WER avg
Accuracy
25+ categories
PII Types
60+
Languages
< 200ms
Latency (streaming)
WAV, MP3, OGG, G.711, G.729
Audio Formats
JSON, SRT, VTT, TXT
Output
Capabilities
99.2% Accuracy
Industry-leading accuracy maintained even in noisy call center environments with multiple codec types.
Automatic PII Redaction
Real-time detection and redaction of credit card numbers, SSNs, dates of birth, and other sensitive data.
Custom Entity Recognition
Identify and tag domain-specific entities: product names, account numbers, medical codes, or any custom taxonomy.
Streaming + Batch Modes
Choose streaming for real-time use cases or batch for post-call analytics and archival.
Multi-Speaker Support
Simultaneous transcription of multiple speakers with speaker labeling and timestamp precision.
Confidence Filtering
Per-word and per-segment confidence scores for downstream quality control.
Quick Start
const transcript = await alpandia.voice.transcribe({
audio: audioBuffer,
language: 'en-US',
options: {
piiRedaction: true,
speakerDiarization: true,
customVocabulary: ['ALPANDIA', 'SIP', 'AHT'],
}
});
console.log(transcript.text); // Full transcript
console.log(transcript.speakers); // Per-speaker segments
console.log(transcript.redactions); // PII entities foundUse Cases
Quality Assurance
Transcribe 100% of calls for AI-powered QA scoring and compliance review.
Call Analytics
Extract topics, keywords, and business intelligence from every conversation.
Agent Training
Build transcription-based training datasets and coaching materials.
Legal & Compliance
Court-admissible transcripts with speaker labels and timestamp metadata.