Why We Replaced Whisper 2.0 with Deepgram 2.0 and Cut Voice Transcription Costs by 45%
The article discusses the migration from OpenAI Whisper 2.0 to Deepgram 2.0 for voice transcription services. This switch resulted in a 45% reduction in monthly costs and improved performance metrics. The decision was driven by increasing transcription volume and limitations experienced with Whisper.
- ▪The team processed 12 million minutes of voice transcription and cut costs by 45% after migrating to Deepgram 2.0.
- ▪Deepgram 2.0 showed a 12% improvement in Word Error Rate compared to Whisper 2.0.
- ▪Monthly transcription expenses decreased from $42,000 to $23,100 with no increase in support tickets.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV Community |
| Canonical URL | https://dev.to/johalputt/why-we-replaced-whisper-20-with-deepgram-20-and-cut-voice-transcription-costs-by-45-3pgg |
| Publication time | Tue, 28 Apr 2026 12:40:36 +0000 |
| Retrieval time | 2026-04-28T12:54:31.957Z |
| Last seen | 2026-04-28T12:54:31.957Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | VBPJbCV1Obpp |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3900225) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ANKUSH CHOUDHARY JOHAL Posted on Apr 28 • Originally published at johal.in Why We Replaced Whisper 2.0 with Deepgram 2.0 and Cut Voice Transcription Costs by 45% #replaced #whisper #deepgram #voice After processing 12 million minutes of voice transcription across 14 global regions in Q3 2024, our team cut monthly infrastructure costs by 45% by migrating from OpenAI Whisper 2.0 to Deepgram 2.0 – with a 12% improvement in WER (Word Error Rate) and 60% lower p99 latency.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV Community.
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