Research-grade transcripts, instantly usable
Research- and media-ready transcription with precise timestamps, diarization, and PII-aware redaction. Verbatim or clean-read deliverables in TXT, DOCX, CSV, JSON, SRT/WebVTT — scaled by parallel teams, audited by gold sets.
One-line elevator
We convert multi-speaker audio to publication-ready text with timecodes, speaker IDs and a QC trail—so your research, clinical or media teams can act immediately.
Why teams pick Saytica
What we deliver
Comprehensive output formats for every use case
Text formats: TXT, DOCX, PDF, CSV, JSON (client schema) • Subtitles & captions: SRT, WebVTT, TTML/DFXP (for publishing) • Diarization & timecodes: RTTM / TextGrid / ELAN .eaf / Praat TextGrid (optional) • Transcription styles: Verbatim (full utterance) or Clean-Read (readable, edited) • Timestamp options: per-utterance, fixed interval (every 10s/30s), SMPTE or HH:MM:SS.mmm • Extras: speaker confidence scores, QC report, change log, redaction map, audio markers for highlights
Service options
Pick what you need for your project
Standard transcription
ASR + single human pass (fast, cost-efficient)
Research-grade
ASR + two-pass human QA + gold set checks (higher accuracy, IAA tracked)
Compliance package
PII redaction, HIPAA-aware processes, consent documentation, secure delivery
Broadcast ready
Timecodes, SDH cues, subtitle exports, burned-in previews for sign-off
Annotation & metadata
Timestamps, speaker role (physician/patient/moderator), sentiment tags, markers
Our Process
A proven 5-step methodology for exceptional results
Scope & sample
Scope & sample
We accept a short sample to set accuracy targets (verbatim vs clean-read).
Ingest & auto-pass
Ingest & auto-pass
ASR runs (choose engine). Auto checks: silence detection, sample rate, perceptual dedupe.
Diarization & speaker mapping
Diarization & speaker mapping
Auto diarization + human review to assign speaker labels and consistency.
Human QC
Human QC
Editor pass (terminology, punct., formatting) → proof pass (timestamps, redaction).
QA & scorecards
QA & scorecards
Gold-set audit, error taxonomy report, IAA where required.
Delivery & handover
Delivery & handover
Files + QC report + changelog; optional integration into CMS/TMS or client storage.
Quality & governance
Gold sets & spot audits
Configurable frequency (e.g., 5% sampling) ensures consistent quality across all deliverables.
IAA & metrics
Cohen's κ / Krippendorff's α on overlapping samples on request for research-grade projects.
Error taxonomy
Accuracy, speaker split, time offsets, formatting—reported in scorecards for full transparency.
Turnaround assurance
Live dashboard with ETA and per-file progress keeps you informed throughout the project.
PII redaction
Automated detection + human verification; keep or remove names, numbers, addresses per client rules.
Compliance
GDPR-aware workflows; HIPAA workflows & BAA when requested for healthcare environments.
We integrate with cloud ASR, on-prem tools, audio editors, captioning platforms, storage and workflow tools. This is a compatibility/partner list — we adapt to your stack or run in-tenant if required.
JSON • XLIFF • YAML • PO/RESX • Android/iOS strings • HTML/Markdown • DOCX/XLSX/PPTX • SRT/WebVTT/TTML • INDD/AI/PSD • CSV/TSV/COCO
Formats & standards
Technical specifications for all deliverable types
Text formats
Subtitles & captions
Diarization & timecodes
Transcription schemas
Turnaround & pricing
Sample quote baseline
- Standard ASR + 1 human pass: typical 1–3 business days for ≤10 hours audio
- Research-grade (2 human passes + gold set): 2–6 business days for ≤10 hours
- Rush: available (express fees apply)
Pricing models
- Per audio minute / per hour | per word (for captions) | subscription for ongoing volumes
- Discounts: volume tiers, monthly retainer, pilot → scale pricing
We'll provide a precise quote after sample review.
Privacy, PII & compliance
PII redaction workflows
Role-based access controls
TLS in transit, AES-256 at rest
GDPR & HIPAA compliance support
Consent traceability: store consent artifacts linked to media IDs; revocation process documented