Whisper.Api vs DBOS

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-10-30
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Whisper.Api or DBOS: which should you choose?

DimensionWhisper.ApiDBOS
PricingFree (self-hosted)Freemium (open-source core + cloud paid tiers)
Primary FunctionSelf-hosted speech-to-text APIDurable execution for AI agents and workflows
Key FeatureDeepgram-compatible, offline, speaker diarizationPostgres-backed state, human-in-the-loop, monitoring dashboard
Best ForDevelopers needing private, offline STTAI agent engineers wanting fault-tolerant workflows
DeploymentDocker, local CPUSelf-hosted or DBOS Cloud
IntegrationsDeepgram protocolOpenAI Agents SDK, LlamaIndex, Pydantic AI, Datadog, Prometheus, Grafana

Choose Whisper.Api if you need a private, offline speech-to-text solution that mirrors Deepgram's API. Choose DBOS if you're building fault-tolerant AI workflows or agents and already use Postgres — it eliminates extra orchestration infrastructure. They solve completely different problems, so your pick depends on whether your need is audio transcription or reliable backend execution.

Whisper.Api
Whisper.Api

Self-hosted speech-to-text API that speaks Deepgram's language, built on whisper.cpp so your audio stays on your servers.

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DBOS
DBOS

DBOS adds durable workflows, queues, and cron to apps and AI agents using the Postgres database you already run.

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Pricing
Free
Freemium
Plans
—
DBOS Transact (Open Source)Free
DBOS Pro$99/mo
DBOS Teams$499/mo
DBOS EnterpriseCustom
DBOS CloudCustom
Popularity
11 views
7.2k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPICLI
WebAPIDesktop
Categories
✨ Transcription & Speech-to-Text
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Deepgram-compatible POST /v1/listen endpoint for file and URL transcription
Real-time WebSocket /v1/listen endpoint for microphone streaming
Local CPU transcription via the compiled whisper.cpp binary
Audio format auto-detection across PCM, WebM, OGG and FLAC
Speaker diarization on transcribed audio
Subtitle export to SRT and VTT
Offline API key generation and revocation via CLI
Unauthenticated GET /v1/models endpoint listing installed GGML models
POST /v1/auth/test-token key minting, disabled by default and development-only
Works from cURL, Python, JS or the Deepgram SDK
FastAPI server on port 7860 with native WebSocket support
SQLite via SQLAlchemy for persistence
Docker and Docker Compose deployment on Debian Bookworm
GGML quantized .bin models read from a local models directory
MIT licensed source you can audit and fork
Durable workflows via @DBOS.workflow() and steps via @DBOS.step()
Automatic crash recovery that replays from the last completed checkpoint
Durable queues with configurable concurrency limits and task start rates
Dynamic cron schedules created, updated, and backfilled from application code
Durable sleep for workflows that wait days or weeks across restarts
Durable send/recv for human-in-the-loop approval and resume
First-party wrappers for Pydantic AI, LlamaIndex, OpenAI Agents SDK, and Vercel AI SDK
DBOS Transact libraries for TypeScript, Python, Go, Java, and Rust
DBOS Conductor dashboard for real-time workflow and queue monitoring
Cancel, resume, or restart workflows from the Conductor console
Distributed workflow recovery, version upgrade, and workflow management
Custom failure alerting with role-based access control
OpenMetrics export to Datadog, Prometheus, or Grafana
MCP server for monitoring and debugging workflows from a coding agent
Self-hosted Conductor on-prem, in any cloud, or in air-gapped environments
Integrations
Deepgram SDK
OpenAI Agents SDK
LlamaIndex
Pydantic AI
Vercel AI SDK
Datadog
Prometheus
Grafana
Slack
Discord

Who should pick Whisper.Api, and who should pick DBOS?

  • Developer needing offline speech-to-text
    Pick: Whisper.Api

    Whisper.Api provides a drop-in Deepgram-compatible API that runs entirely on local hardware, ensuring no audio data leaves the server. It's perfect for sensitive environments or air-gapped setups.

  • AI agent engineer building fault-tolerant workflows
    Pick: DBOS

    DBOS offers durable execution with Postgres, automatic failure recovery, and native integrations with OpenAI Agents SDK and LlamaIndex. It simplifies building reliable multi-step agents.

  • Team migrating from Deepgram to on-prem
    Pick: Whisper.Api

    Whisper.Api's Deepgram-compatible REST and WebSocket API allows a seamless transition with minimal code changes, while keeping transcription local and avoiding cloud costs.

  • Backend team using Postgres wanting durable queues
    Pick: DBOS

    DBOS co-locates workflow state in Postgres, eliminating the need for separate queue infrastructure. It's ideal for teams that already rely on Postgres and want simple, robust orchestration.

  • Hobbyist with limited hardware wanting STT
    Pick: Whisper.Api

    Whisper.Api runs on CPU-only machines via Docker and supports multiple GGML models, making it accessible even without a GPU. It's free and easy to set up for personal projects.

Frequently Asked Questions

Whisper.Api vs DBOS: which should you choose?

Choose Whisper.Api if you need a private, offline speech-to-text solution that mirrors Deepgram's API. Choose DBOS if you're building fault-tolerant AI workflows or agents and already use Postgres — it eliminates extra orchestration infrastructure. They solve completely different problems, so your pick depends on whether your need is audio transcription or reliable backend execution.

Can Whisper.Api be used for real-time streaming transcription?

Yes, it supports real-time streaming via WebSocket, compatible with Deepgram's streaming protocol.

Does DBOS require a separate database for workflow state?

No, it uses Postgres as the state store, co-locating workflow state with application data.

Is Whisper.Api truly offline?

Yes, it runs entirely locally with no external service dependencies, including no external auth services.

What integrations does DBOS support for AI agents?

It natively integrates with OpenAI Agents SDK, LlamaIndex, and Pydantic AI.

Can Whisper.Api export subtitles?

Yes, it can export transcriptions as SRT or VTT subtitle files.

Does DBOS provide a UI for monitoring workflows?

Yes, it includes DBOS Conductor, a real-time monitoring dashboard for workflow execution.

Is Whisper.Api compatible with Deepgram's existing client libraries?

Yes, it provides a Deepgram-compatible REST and WebSocket API, so existing clients should work with minimal changes.

Can DBOS pause a workflow for human approval?

Yes, it supports human-in-the-loop via send/recv primitives to pause and resume workflows.

What else are Whisper.Api and DBOS compared with?

Where can you read more about Whisper.Api and DBOS?

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