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Brainiall Speaker ID visualized — circular conference table with 4 speaker positions in cyan, violet, amber and rose, with color-coded timeline below

Brainiall Speaker ID
Brainiall Speaker ID engine, standalone — no transcription bundling required

Identify who spoke when. Just speaker labels — not text. Powered by Brainiall Speaker ID engine (research SOTA on AMI), at $0.006/min — 7.5× cheaper than the standalone specialist, 10× cheaper than AssemblyAI.

Brainiall Speaker ID — colored speaker timeline with RTTM table

How we compare

Standalone diarization is rare — most providers bundle it with transcription. Brainiall exposes Brainiall Speaker ID engine directly so you only pay for speaker labels. v1.0 calibration vs published competitor pricing and metrics; v1.1 will replace with direct DER measurement on a 200-clip benchmark.

ProviderQualityPrice/minutevs market avgPosition
the standalone specialist9.0/10$0.045131%
AssemblyAI8.5/10$0.065190%
Rev.ai8.7/10$0.02058%
AWS Transcribe8.0/10$0.02470%
Deepgram Nova-3 + diarize8.6/10$0.01851%
Brainiall FAST9.0/10$0.0060(83% cheaper)17%Parity

Pricing rule: 90% off when inferior · 80% off at parity · 50% off when superior. Position determined by objective benchmark, refreshed quarterly. Market average excludes retired / free / no-offer entries.

Pricing

Discount derived from quality position vs the closest competitor. 90% off when inferior, 70% off at parity, 50% off when superior.

Free

$0/mo

30 min/month · fast tier · forever free

Starter

$19/mo

1,000 min/month · turns + RTTM + LAB output · all formats

Pro

$99/mo

10,000 min/month · priority queue · 99.5% SLA

Business

$299/mo

50,000 min/month · dedicated capacity · email + Slack

PAYG: $0.006/min (Brainiall Speaker ID engine). HD tier (~3pp DER improvement on overlapping audio) is on the v1.1 roadmap — not yet available.

One endpoint, three output formats

# Standard JSON turns
POST https://api.brainiall.com/v1/audio/diarize/base64
 {"audio": "<base64 wav>", "tier": "fast"}

# Industry-standard RTTM (Rich Transcription Time Marked)
POST https://api.brainiall.com/v1/audio/diarize/base64
 {"audio": "<base64>", "output_format": "rttm"}

# With speaker count hint (improves accuracy on known-cardinality calls)
POST https://api.brainiall.com/v1/audio/diarize/base64
 {"audio": "<base64>", "num_speakers": 2}

Why standalone diarization?

  • Already have transcripts: Brainiall Speech engine output + speaker labels is the most cost-efficient pipeline.
  • Privacy-regulated audio: get speaker analytics without sending text-bearing audio to a transcription provider.
  • Multi-language workflows: speaker change detection is language-agnostic; works on any language Brainiall Speaker ID supports.
  • Cost: paying transcription rates ($0.024-0.65/min) for diarization is overkill when standalone is $0.006/min.

Press kit & resources

Everything reviewers, integrators and procurement teams typically ask for.

One-page datasheet

Pricing, KPIs and a copy-pasteable curl snippet on one page. Ideal for buyer review.

Download PDF

Try it with our sample

60-second 3-speaker recording — feed it through the API and compare the output against your own input.

Download sample

API reference

OpenAPI spec, request/response shapes, error codes, rate limits and quota model.

Read docs →

More specialty APIs

Same single API key, same usage-based pricing, different problem solved.

Built for voice agent pipelines

Voice agents live or die on what happens between the microphone and the model. Brainiall ships that audio layer as plain REST building blocks that drop into any agent stack — no SDK lock-in, one API key.

  • Voice isolation. Strip background music, TV and street noise before transcription, so the agent hears only the speaker.
  • Diarization & speaker turns. Know who said what — segment the conversation by speaker before the model reasons over it.
  • Streaming & batch transcription. Real-time speech-to-text over WebSocket for live conversations, plus high-accuracy batch transcription for recordings.
  • Composable by design. Each step is one REST call on the same key and bill — add translation, moderation or speech synthesis as the agent grows.

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