Voquill

Voquill is a Y Combinator-backed company building open-source, privacy-first AI voice interfaces. Its flagship product is a cross-platform AI voice dictation app (macOS, Windows, Linux, iOS, Android) that supports local on-device Whisper transcription, bring-your-own API keys, Voquill Cloud, and self-hosted / on-premise enterprise deployments with OIDC SSO, and the company also builds a realtime AI scribe for pathologists that turns voice dictation into signed-off pathology reports inside existing LIS/IMS systems. The desktop app, enterprise gateway, admin portal, mobile app, and CLI are all developed in the open under AGPLv3 at github.com/voquill/voquill; there is currently no public developer API.

Voquill is profiled on the APIs.io network. Tagged areas include Company, Voice, Dictation, Speech-to-Text, and AI.

Voquill’s developer surface includes documentation, getting-started guide, engineering blog, support, pricing, signup flow, CLI, and 11 more developer resources.

24.1/100 emerging ▬ flat Agent 5/100 human only Full breakdown ↓
scored 2026-08-17 · rubric v0.11.0
0 APIs
CompanyVoiceDictationSpeech-to-TextAIOpen SourceHealthcarePathologyProductivity

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0
Composite quality — 24.1/100 · emerging
Contract Quality 0.0 / 21
Developer Ergonomics 6.6 / 17
Commercial Clarity 7.6 / 17
Operational Transparency 2.3 / 11
Governance 0.0 / 10
Discoverability 4.9 / 9
Regulatory Posture 2.6 / 15
Agent readiness — 5/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/voquill: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Voquill Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: voquill
name: Voquill
description: Voquill is a Y Combinator-backed company building open-source, privacy-first AI voice interfaces. Its flagship
  product is a cross-platform AI voice dictation app (macOS, Windows, Linux, iOS, Android) that supports local on-device Whisper
  transcription, bring-your-own API keys, Voquill Cloud, and self-hosted / on-premise enterprise deployments with OIDC SSO,
  and the company also builds a realtime AI scribe for pathologists that turns voice dictation into signed-off pathology reports
  inside existing LIS/IMS systems. The desktop app, enterprise gateway, admin portal, mobile app, and CLI are all developed
  in the open under AGPLv3 at github.com/voquill/voquill; there is currently no public developer API.
url: https://raw.githubusercontent.com/api-evangelist/voquill/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://avatars.githubusercontent.com/u/258637887?v=4
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Voice
- Dictation
- Speech-to-Text
- AI
- Open Source
- Healthcare
- Pathology
- Productivity
apis: []
common:
- type: DomainSecurity
  url: security/voquill-domain-security.yml
- type: Website
  url: https://voquill.com/
- type: Documentation
  url: https://docs.voquill.com/
- type: GettingStarted
  url: https://docs.voquill.com/getting-started/
- type: Blog
  url: https://voquill.com/blog/
- type: GitHubOrganization
  url: https://github.com/voquill
- type: Support
  url: https://voquill.com/contact/
- type: Pricing
  url: https://voquill.com/dictation/
- type: SignUp
  url: https://app.voquill.com/
- type: Download
  url: https://voquill.com/download/
- type: TermsOfService
  url: https://voquill.com/terms/
- type: PrivacyPolicy
  url: https://voquill.com/privacy/
- type: LLMsTxt
  url: llms/voquill-llms.txt
- type: Packages
  url: packages/voquill-packages.yml
- type: WellKnown
  url: well-known/voquill-well-known.yml
- type: CLI
  url: cli/voquill-cli.yml
- type: ChangeLog
  url: changelog/voquill-changelog.yml
- type: AgentSkill
  url: skills/_index.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 7
  pass: local-v1