Financial transcription

Speech-to-text built for financial transcription

In a financial meeting, a misheard figure or company name doesn't stay in the transcript. It lands in the client file, the CRM, and the compliance record. Gladia gives your product transcripts it can trust.

Used by

  • Attention
  • Circleback
  • Claap
  • Sana
  • Coconote
Abstract financial compliance metrics illustration
6.4%
Word error rate
The only model under 7% on Earnings22 financial calls, dense with company names and figures.
#1
Speaker diarization
On DIHARD III with advisor and client attributed to the right speaker.
40+
PII entity types
Account and card numbers stripped before they reach your pipeline.
Why teams switch to Gladia

Financial transcription that holds up in the record

In finance, the transcript isn't a note. It's the record your clients, CRM, and compliance team all rely on.

Numbers & entities

A misheard figure becomes a wrong record

Revenue figures, company names, tickers: the words generic models get wrong. Gladia leads on Earnings22 and takes custom vocabulary in the same request.

  • Custom vocabulary for tickers & funds
  • Numbers formatted as numbers
  • Named entity extraction
Speaker attribution

Know who committed to what

In an advisory meeting, who said it matters as much as what was said. A client instruction attributed to the advisor is a compliance problem, not a typo.

  • Word-level speaker labels
  • Configurable speaker count
  • #1 on DIHARD III
Compliance

Cleared before procurement asks

Financial firms vet every vendor that touches client conversations. Gladia is an EU-based provider, runs EU and US workloads on separate infrastructure, and has the documentation ready before your security review starts.

  • EU & US data residency
  • SOC 2 Type 2, ISO 27001 & ISO 27701
  • GDPR DPA available
PII redaction

Redact the account numbers, keep the advice

Strip account numbers, card details, and client identifiers from transcripts before they hit your storage or LLM pipeline. Pick the entity types yourself or use a preset.

  • 40+ redactable entity types
  • Financial & PCI presets
  • Consistent markers for LLM pipelines
Languages

One API for every client market

Wealth and advisory firms in Europe don't run their meetings in English only. Gladia's Solaria-3 leads on real English audio and core European languages (French, German, Spanish, Italian).

  • Best-in-class on EN, FR, DE, ES, IT
  • 100+ languages supported
  • Mid-sentence code-switching
Benchmarks

Tested on the calls that move markets

Earnings22 is the industry-standard benchmark for financial speech: real earnings calls full of company names, figures, and finance jargon. WER = lower is better. Our benchmark methodology is open-source.

See the full comparison See the full comparison
6.4%
Solaria-3
6.9%
AssemblyAI
7.7%
ElevenLabs
7.8%
Speechmatics
7.9%
Mistral
8.1%
Solaria-1
12%
Deepgram
Getting started

From API key to your first financial transcript in minutes

Start for free

with €50 on us

Get your API keyGet your API key
01

Get your API key

€50 in free credits, with diarization, custom vocabulary, and named entity recognition included.

02

Send your audio

Upload recorded meetings and calls, or capture them through meeting-bot partners like Recall.ai. Works via API, Python and TypeScript SDKs, or the Playground.

03

Receive structured financial output

Speaker-labeled transcripts with entities extracted and account numbers redacted when you need them. Ready for your CRM, client file, or summary pipeline.

04

Run compliance in parallel

Request your DPA, SOC 2 Type 2 and ISO 27001 reports while you test, so the security review doesn't hold up go-live.

Fintech case study

How a fintech hit 98.5% numerical accuracy across its calls

Challenge

One misheard digit could send a payment to the wrong account

A fintech handling millions of hours of support and collections calls a year needed every number right, fast enough for live calls. After comparing Google and Whisper, they worked with Gladia's engineering team to get both.

98.5%
Numerical accuracy

Account numbers and figures captured correctly across transcribed calls.

<300ms
Real-time latency

On every real-time transcription, regardless of call volume.

800
Concurrent sessions

Running simultaneously without a drop in speed or accuracy.

What builders say

Trusted in production by teams that can't afford a wrong transcript

Matthias Wickenburg
Matthias Wickenburg CTO & Co-founder at Attention
Livestorm

We initially attempted to host Whisper AI, which required significant effort to scale. Switching to Gladia brought a welcome change.

Robin Lambert
Robin LambertCTO at Livestorm
Amanda Zhu
Amanda ZhuCo-Founder at Recall

Gladia's real-time code-switching has been a real 'wow' factor! Plus, the accuracy of transcription has been excellent.

Recall

Gladia's real-time code-switching has been a real 'wow' factor! Plus, the accuracy of transcription has been excellent.

Amanda Zhu
Amanda ZhuCo-Founder at Recall
Carv

Everything we do based on transcription became better after we switched to Gladia. The accuracy across European languages has been transformative.

Valentijn van Gastel
Valentijn van GastelCTO at Carv

Get every figure right, from the first transcript

Join 2,000+ enterprise teams building their products with reliable audio intelligence.