# lazybird-app

**Canonical:** https://apis.io/providers/lazybird-app/  
**Website:** https://www.lazybird.app/  
**APIs profiled:** 1

Lazybird is an AI voiceover generator for creators, enabling realistic text‑to‑speech for videos, podcasts, audiobooks, courses, and product demos. Users can import scripts, select from a variety of AI voices, generate audio, and download it, with a free tier to start. The platform also offers multilingual support and customizable voice options, aiming to streamline content creation for creators and businesses alike.

## Kin Score — 21.3 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 66.1 |
| Contract Quality | 0.0 |
| Contract Governance | 4.5 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 19.0 |
| Access Clarity | 44.7 |

Regulatory layer — **AI & Biometrics**: 22.7 (matched via residual_tags).

## Agent readiness — 21.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | yes |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **Lazybird Speech API** — Lazybird Speech API lets you list available voices, generate MP3 speech from text or SSML, and create, edit and publish cloned voices.

## Security (1)

- **Lazybird App Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Voiceover, Text-to-Speech, Creator Tools, Multilingual

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/lazybird-app/). Scores are computed from the provider's own public artifacts under a published rubric.