Doctly

Doctly is an AI document-to-Markdown and structured-data extraction API. It converts PDFs, DOCX, and image files into clean Markdown or JSON via an asynchronous submit-then-poll REST API, with LITE and ULTRA accuracy levels, optional custom extractors for structured extraction, and webhook callbacks on completion.

Doctly publishes 2 API contracts indexed on the APIs.io network: Documents API and Extractors API. Tagged areas include Artificial Intelligence, Document Parsing, PDF, Markdown, and Data Extraction.

The Doctly catalog on APIs.io includes 1 Spectral governance ruleset.

Doctly’s developer surface includes pricing, engineering blog, authentication, documentation, and 8 more developer resources.

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35.1/100 thin ▬ flat Agent 22/100 agent aware Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract

Artificial Intelligence Document Parsing PDF Markdown Data Extraction OCR

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 35.1/100 · thin

Contract Quality 9.8 / 19

Developer Ergonomics 4.8 / 15

Access Clarity 5.5 / 15

Operational Transparency 1.0 / 10

Contract Governance 1.2 / 9

Discoverability 5.0 / 8

Regulatory Posture 1.6 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Developer Ergonomics scores 32.1 — up to +13.6 composite points
Access Clarity scores 36.8 — up to +12.6 composite points
Contract Quality scores 52.0 — up to +12.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/doctly-ai/apis.yml: open an issue on github.com/api-evangelist/doctly-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
RPA and Document AI (RPA marketplaces, intelligent document processing)	long-tail	2.5 (thin)	-	-
PDF and Document Standards (PDF tooling, document signing trust, invoice documents)	long-tail	2.5 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Markdown

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

PDF

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

OpenAPI

measured — observed by APIs.io (published)

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Doctly Documents API

Upload documents for Markdown conversion and retrieve results.

Doctly Extractors API

Manage and run custom structured-data extractors.

Open Collections 3

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Doctly Documents API

OPEN COLLECTION

Doctly Documents Extractors API

OPEN COLLECTION

Doctly API

OPEN COLLECTION

Doctly API pricing

Prices published by Doctly, read 2026-10-07 from doctly.ai/pricing.

Plan	Price
Flexible	$0.02 per page Includes: Pay as you go, no monthly commitment; API access; 1 team seat; 99% SLA
Professional	$499/month Includes: 25,000 pages per month included; 5 team seats; 99.5% SLA
Enterprise	Custom Includes: Unlimited document processing; dedicated infrastructure option; on-premise deployment option; 99.9%+

Plan details, limits and sources →

Rate limits

Requests Per Minute: see provider documentation requests
Max File Size: 104857600 bytes
List Page Size: 100 records

Compiled by API Evangelist, not yet checked against Doctly's documentation. All 4 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Doctly Ai Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Doctly Ai Rate Limits

4 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Doctly

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Doctly Ai Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Doctly API Rules

61 rules · 59 errors 1 warnings 1 info

SPECTRAL

Security Posture 2

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

Doctly Ai Authentication

http · 1 scheme

SECURITY

Doctly Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Doctly Ai Agentic Access

9 operations · 5 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

Blog

Blog

LinkedIn

Website

Website

Source (apis.yml)

aid: doctly-ai
url: https://raw.githubusercontent.com/api-evangelist/doctly-ai/refs/heads/main/apis.yml
name: Doctly
kind: company
description: Doctly is an AI document-to-Markdown and structured-data extraction API. It converts PDFs, DOCX, and image files
  into clean Markdown or JSON via an asynchronous submit-then-poll REST API, with LITE and ULTRA accuracy levels, optional
  custom extractors for structured extraction, and webhook callbacks on completion.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/doctly-ai.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-25
x-docs-hosting: vercel
tags:
- Artificial Intelligence
- Document Parsing
- PDF
- Markdown
- Data Extraction
- OCR
tags_raw:
- AI
- Document Parsing
- PDF
- Markdown
- Data Extraction
- OCR
created: '2026-06-21'
modified: '2026-10-06'
specificationVersion: '0.23'
apis:
- aid: doctly-ai:doctly-ai-documents-api
  name: Doctly Documents API
  description: Upload documents for Markdown conversion and retrieve results.
  humanURL: https://docs.doctly.ai/api-reference/documents/process
  baseURL: https://api.doctly.ai/api/v1
  tags:
  - Documents
  properties:
  - type: OpenAPI
    url: openapi/doctly-ai-documents-api-openapi.yml
  - type: Documentation
    url: https://docs.doctly.ai/api-reference/documents/process
  - type: APIReference
    url: https://docs.doctly.ai/api-reference/introduction
  - type: PostmanCollection
    url: collections/doctly-ai.postman_collection.json
  - type: OpenCollection
    url: collections/doctly-ai.opencollection.json
  - type: Documentation
    url: https://docs.doctly.ai/api-reference/extractors/run
  - type: Documentation
    url: https://docs.doctly.ai/api-reference/documents/get
- aid: doctly-ai:doctly-ai-extractors-api
  name: Doctly Extractors API
  description: Manage and run custom structured-data extractors.
  humanURL: https://docs.doctly.ai/api-reference/documents/process
  baseURL: https://api.doctly.ai/api/v1
  tags:
  - Extractors
  properties:
  - type: OpenAPI
    url: openapi/doctly-ai-extractors-api-openapi.yml
  - type: Documentation
    url: https://docs.doctly.ai/api-reference/documents/process
  - type: APIReference
    url: https://docs.doctly.ai/api-reference/introduction
  - type: PostmanCollection
    url: collections/doctly-ai.postman_collection.json
  - type: OpenCollection
    url: collections/doctly-ai.opencollection.json
  - type: Documentation
    url: https://docs.doctly.ai/api-reference/extractors/run
  - type: Documentation
    url: https://docs.doctly.ai/api-reference/documents/get
common:
- type: Pricing
  url: https://doctly.ai/pricing
- url: https://doctly.ai/blog/
  type: Blog
- type: AgenticAccess
  url: agentic-access/doctly-ai-agentic-access.yml
- type: DomainSecurity
  url: security/doctly-ai-domain-security.yml
- type: Authentication
  url: authentication/doctly-ai-authentication.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/doctly-ai
- type: Website
  url: https://doctly.ai
- type: Documentation
  url: https://docs.doctly.ai
- type: GitHubOrganization
  url: https://github.com/doctly
- type: Plans
  url: plans/doctly-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/doctly-ai-rate-limits.yml
- type: FinOps
  url: finops/doctly-ai-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Doctly API — frequently asked questions

Does Doctly have an API?

Yes. APIs.io lists 2 APIs from Doctly, including Doctly Documents API and Doctly Extractors API.

Is there an OpenAPI specification for the Doctly API?

Yes. APIs.io indexes 2 OpenAPI specifications for Doctly, each linked for download from this page.

How do I authenticate with the Doctly API?

Doctly uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Doctly Ai Authentication.

How much does the Doctly API cost?

Doctly publishes its prices; its Flexible plan is $0.02 per page as of 2026-10-07. APIs.io lists 3 pricing plans for Doctly, with each plan's price, limits and inclusions under Pricing on this page.

Is the Doctly API ready for AI agents?

Doctly has a Kin Score of 35.1 out of 100 (thin) and an Agent Readiness score of 22.4 (agent-aware), scored by API Evangelist on 2026-11-06.

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