# Impira

**Canonical:** https://apis.io/providers/impira/  
**APIs profiled:** 0

Impira was a document-AI / intelligent-document-processing company that let business users turn unstructured content — documents, invoices, images, PDFs and webpages — into structured, queryable data by building and training extraction models without code. Backed by Lightspeed Venture Partners, Impira was acquired by Figma in early 2023 and its standalone product domains (impira.com, impira.io) no longer serve. Its GitHub organization (github.com/impira) survives, along with two first-party open-source Python libraries still published on PyPI: the official Impira Python SDK and DocQuery, an MIT-licensed document question-answering library. This profile is maintained in the API Evangelist network as an acquired-company record; there is no live API, developer portal, or hosted documentation surface remaining.

## Kin Score — 6.8 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.8).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Document AI, Intelligent Document Processing, Machine-Learning, Data Extraction, Unstructured Data, Acquired, Open-Source

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