APIs
Explore the APIs category for structured AI extraction, web data collection, and vision intelligence you can plug directly into agent workflows. Tools like LlamaParse, Hireability, Airparser, and Affinda turn messy resumes into clean structured data, while Firecrawl and Oxylabs Web Scraper API extract web content at scale for LLM-ready pipelines. You’ll also find APIs like Google Cloud Vision API and Amazon Rekognition API for image analysis, plus Jina AI Reader API for fast content extraction built for AI systems.
58 resources in APIs
Extracta.ai
Schema-first resume parsing that stays lean and predictable across clean, multi-column, and messy PDFs.
HireAbility
Strong resume-to-JSON parsing on standard and messy single-column PDFs, but two-column layouts can break the result schema.
Docparser
Template-based resume parsing that works on one fixed layout, but breaks on varied resumes.
PyMuPDF4LLM
Open-source PDF-to-markdown for clean native PDFs, but unreliable on scans, dense tables, and images.
Docling
Open-source PDF-to-markdown conversion that is strong on text, headings, and standard tables, but drops charts and other visual assets.
LiteParse
Open-source PDF-to-markdown parsing that works well on native-digital reports, but degrades on scans, tables, and charts.
doc2mark
Open-source PDF-to-markdown that preserves native text and headings, but still struggles with tables, charts, images, and scans.
Best AI Agent Memory Tools (2026): Tested & Ranked
We tested five memory tools with the same multi-session prompts to see which ones can remember user style, client history, project direction, and delete/forget requests without leaking stale context.
Parseur
Template-driven resume parsing that returns predictable JSON after one-time setup.
Skima AI
Fast PDF resume parsing with dependable core fields and experience-year calculation, but weak structured output and supplemental coverage.
Airparser
Parses clean, multi-column, and messy resumes into structured JSON, but email, title, and skill formatting still need validation.
Affinda
Best overall resume parsing API here for clean, multi-column, and messy PDFs with rich structured JSON.
CVParserPro
Parses resume PDFs into structured candidate profiles quickly, but experience totals and education dates need manual review.
LlamaParse
Versatile PDF parsing for Markdown and structured JSON, with strong recovery but some fidelity drift
Query Live Databases Using Plain English with AI
This use case shows how business users can query a live database using plain English instead of writing SQL. We tested five AI database tools on the same ecommerce database and found AskYourDatabase to be the best practical workflow because it showed generated SQL, returned readable business answers, handled follow-ups well, and surfaced operational risks like pending-but-paid orders. The page also covers real outputs, limitations, and when users should still review the SQL before acting on results.
Best AI Tools to Scrape Web Pages Into Clean Markdown or Structured Data
We tested four AI web-scraping tools on three live targets—a cluttered recipe blog, a JS-heavy Nike product page, and a protected Glassdoor jobs page—to see which ones return usable Markdown or structured data with zero manual selectors.
Best AI Tools to Query Live Databases Using Plain English
If you need to ask a live database questions in plain English, the best tools are the ones that can turn a conversational prompt into a correct query, a readable answer, a chart, and a follow-up-safe thread. We tested 11 database-AI tools on the same live PostgreSQL ecommerce data with three benchmark chains: customer acquisition, best customers with unpaid-order and payment-method follow-ups, and order-pipeline health with pending-paid edge cases and month-over-month comparisons.
Best AI Tools to Convert Complex PDFs into Clean Markdown with an API
If you need a hosted API that turns messy PDFs into markdown for search, RAG, or downstream automation, this benchmark compares how well each service keeps text, tables, charts, images, and reading order intact across a hybrid annual report, a table-heavy financial report, and a scanned research paper.
Upstage AI
Solid on native financial tables, but unreliable for multi-column and scanned-document structure in markdown conversion.
Best AI Resume Parser APIs for Structured JSON Output
If you need to turn resume PDFs into clean, machine-readable JSON for an ATS or talent platform, the key question is which parser can reliably extract contact info, work history, education, skills, and certifications across clean, multi-column, and messy layouts. This benchmark compared multiple resume parsing tools on the same resume set to see which ones returned consistent structured data, handled layout complexity, and stayed usable for API integration.