Side-by-Side Comparison

DeepScript vs OpenAI Whisper API — production stack vs. raw engine

Whisper is a brilliant ASR engine — but as a production stack it lacks almost everything: no diarization, no EU data, no retention guarantees, no DACH dialects. DeepScript builds that layer on top.

OpenAI Whisper has been the most important open-source speech-to-text model since 2022. The hosted API costs $0.006 per minute (~$0.36/h) — almost too cheap to compare. Using Whisper API directly, you get only the raw model: no diarization, no confidence scores, no retention guarantees, US hosting. Production workflows lack critical layers. DeepScript builds those layers — diarization, DACH dialect model, EU hosting, custom vocabulary, webhooks, MCP, editor — as a complete stack on top.

OpenAI Whisper API · founded 2022 · HQ USplatform.openai.com

DimensionDeepScriptOpenAI Whisper API
Price per hour€0.18~$0.36 (≈ €0.33)
Speaker diarizationIncludedNot offered
Data residencyNuremberg, DEOpenAI US infrastructure
Retention policy for business30 days (Pro: permanent)30-day logs, otherwise undefined
DACH dialectsOptimised (CH/AT/DE)Standard German
Custom vocabularyPer transcription or savedPrompt hint (limited)
Live transcriptionWebSocket streamingRealtime API (separate product)
WebhooksYes, HMAC-signedNo (polling)
Web editorYes, with audio syncNot offered
GDPR DPA (EU-to-EU)Yes, online signableSCCs / DPA with OpenAI Inc.

Pick DeepScript when ...

  • You need speaker diarization (meetings, interviews, podcasts).
  • EU data residency + GDPR DPA are mandatory.
  • DACH dialects come up frequently.
  • You want webhook delivery instead of polling.
  • You need a UI editor on top of the API.
  • You're building an AI agent integration via MCP.

Pick OpenAI Whisper API when ...

  • You need absolute minimum pricing and only the raw transcript.
  • Your use-case is single-speaker audio with no compliance requirements.
  • You're already deep in the OpenAI stack and don't want another vendor.

Frequently asked questions

Does DeepScript use Whisper internally?

Parts of our engine build on Whisper-derived models, with our own fine-tunes for DACH dialects and an in-house diarization pipeline. Whisper is a good building block, but we ship the full production stack around it.

Why not self-host Whisper and get EU compliance?

It works — at a cost: GPU infrastructure (at least an A10 or L40S), inference serving layer (vLLM, Triton, Faster-Whisper), diarization pipeline (pyannote or similar), vocabulary handling, storage, audio format conversion, job queue, monitoring, compliance audits. Effective per-hour cost lands at €1-3 — before capex. DeepScript delivers all of it ready-made for €0.18.

Is Whisper more accurate than DeepScript Premium?

On English audio: comparable (Whisper Large-v3 and our Premium models both land >95% WER). On DACH dialects: no, Whisper is significantly worse there because its training set is dominated by US English. DeepScript Premium is specifically trained on Swiss German, Austrian and Low German.

What happens with a 3-speaker audio on Whisper API?

Whisper API returns a single text stream with no speaker labels. You'd have to diarize yourself (pyannote, NeMo etc.) and merge outputs — a non-trivial build. DeepScript handles that in one call and returns utterances with speaker IDs + timestamps.

Try it yourself instead?

Three transcriptions free, no credit card. Data stays in Germany. Three minutes from sign-up to finished transcript.

DeepScript vs OpenAI Whisper API: what Whisper alone doesn't deliver | DeepScript