Real-Time Transcription
The first real-timetranscription withouttrade-offs.
Stream finance transcripts in under a second — self-correcting, and the first and only solution of its kind.
<1s
Latency
95%+
Accuracy
Self-correcting
Industry first
See a transcript stream in under a second.
MICHAEL CHANG · ANALYST, MORGAN BRIDGE
Near real-time transcription with self-correcting accuracy — a world first.
01
Sub-second latency (hundreds of milliseconds)
02
95%+ accuracy with automatic self-correction
03
Real-time speaker identification with role attribution
04
Live integration of our proprietary finance glossaries
05
Extensive dictionary of 10,000+ company names
Why it matters
First provider to deliver both speed and accuracy through self-correcting technology — purpose-built for finance.
How it worksAudio in. Insight out.
Audio in. Insight out.
Under one second.
Five stages of a self-correcting pipeline running in parallel — from the first syllable hitting our ingest to a verified, enriched transcript streaming into your stack.
Stage 01 / 05
Audio Stream.
Connect via API, conference dial-in, or streaming URL.
- Stage 01 / 05
Audio Stream.
Connect via API, conference dial-in, or streaming URL.
- Stage 02 / 05
AI Processing.
Finance-optimized ASR with real-time dictionaries.
- Stage 03 / 05
Live Streaming Transcript.
Delivered in under one second.
- Stage 04 / 05
Self-Correction.
Accuracy improvements applied automatically.
- Stage 05 / 05
Enrichment.
Speakers, roles, and entities identified in real-time.
Stream into anything you ship.
Export formats
JSON
Real-time capabilities
- Speaker identification with confidence scoring
- Speaker role attribution
- Company name verification
- Financial terminology recognition
- Continuous glossary updates
Where real-time wins.
Give analysts immediate access to accurate transcripts.
Monitor calls as they happen with high accuracy.
Provide clients instant access to conversation content.
Handle code-switching and multiple languages seamlessly.
Two things every other vendor makes you choose between.
For thirty years, finance transcription has forced a single tradeoff: ship fast and tolerate errors, or wait hours for accuracy. We solved it.
Speed OR accuracy
- Fast = lower accuracy
- Accurate = slow delivery
- Clients forced to choose
- Re-work tax on every transcript
Speed AND accuracy
- Fast WITH high accuracy
- Self-correcting technology
- No compromise required
- Finance-tuned, the first of its kind
Want this on your earnings calls?
Book a 15-min demo →When to choose real-time transcription.
01 / Speed
Speed Requirements
- Need text within seconds of speech
- Live decision-making required
- Time-sensitive trading environments
- Real-time compliance needs
02 / Accuracy
Accuracy Needs
- 95%+ accuracy sufficient for decisions
- Self-correction provides confidence
- Human review can follow if needed
- NER accuracy critical
03 / Volume
Volume Considerations
- High concurrency requirements
- Unpredictable peak loads
- 24/7 availability needed
- Global market coverage
INFLXD is the first vendor that didn't make us choose between speed and accuracy. We push live earnings transcripts to clients in under a second — and the numbers always land right.
Built for production workloads.
Core capabilities
Sub-second streaming with self-correction at enterprise scale.
Real-time intelligence
Speaker, role, entity, and finance-terminology recognition — all in stream.
Integration flexibility
API streaming, WebSocket, and webhook delivery with rich metadata.
Real-time isn't a feature for us. It's the product.
Industry first
The only self-correcting real-time transcription.
We solved the speed-accuracy tradeoff. Purpose-built for finance, where every ticker and figure has to land.
- 95%+
- Accuracy at <1s latency
Scale proven
Hundreds of thousands of hours, every year.
Concurrent earnings calls, expert network rooms, and compliance feeds — handled at enterprise reliability.
- 10K+
- Companies in our finance dictionary
Key differentiators
Questions teams ask before they switch.
Off-the-shelf ASR caps around 92–95% accuracy and gets worse on tickers, names, and numerics. Our pipeline runs finance-tuned acoustic and language models, looks up a 10,000+ company dictionary in real time, and self-corrects mistakes in-stream — without adding latency.
We continuously re-score and replace low-confidence segments inside the live stream, applying glossary lookups and entity verification as more context arrives. Listeners see corrections appear in under a second, so the transcript on their screen is the one we'd stand behind.
Every transcript is decoded against a proprietary finance glossary covering tickers, exchange codes, regulatory bodies, instrument names, and earnings-call shorthand. The glossary updates daily and is layered with per-client custom dictionaries you can extend.
Yes — direct API streaming, WebSocket connections, and custom webhook delivery into your stack. Output is JSON with word-level timestamps and entity metadata, plus SRT / DOCX / TXT / PDF if you need rendered files.
Right fit
Is INFLXD the right fit for you?
01 / FOR YOUR FIRM
Competitive differentiation
Offer what incumbents can't — no speed vs. accuracy compromise, finance-specific optimization, and full ownership of your transcript IP.
02 / FOR YOUR FIRM
Operational excellence
Scale without infrastructure overhead. Handle peak concurrency, global language coverage, and enterprise reliability out of the box.
03 / FOR YOUR CLIENTS
Immediate access
High-confidence transcripts while events unfold, with complete speaker attribution — searchable from moment one.
04 / FOR YOUR CLIENTS
Enhanced analysis
React to information faster, track speaker sentiment, identify key moments, and build systematic strategies on accurate data.
If any of these statements apply to your organization, let's talk.
Book a demo →Pick the tier that fits the moment.
Four tiers from fastest to most accurate. You are here.
01You are here
Real-Time Transcription
- Speed
- <1 second
- Accuracy
- ~95%+
For live earnings calls, compliance monitoring, and time-sensitive analysis.
02AI Asynchronous
- Speed
- Within minutes
- Accuracy
- ~96%+
Turn large volumes of audio into enriched, usable data with minutes turnaround.
03First Draft
- Speed
- 6–12 hours
- Accuracy
- ~98%+
Balance speed and quality with human-verified drafts for critical content.
04Human Perfect
- Speed
- 12–24 hours
- Accuracy
- ~99%+
For transcript libraries, compliance archives, and licensable content.
SpeedAccuracy
Last step
Ready to own your earnings call data?
A live walkthrough on your own audio. Sub-second transcripts, self-correcting, finance-grade — straight into your stack.
Talk to us →