Developer Tools & APIs
Developer Tools & APIs on AI Demos focuses on structured, agent-ready building blocks that turn messy inputs into usable data. Tools like Firecrawl for web scraping and data extraction, LlamaParse and Airparser for resume parsing and schema extraction, and AskYourDatabase for natural-language SQL queries show how teams can move from raw documents and web pages to clean outputs fast. If you’re shipping AI workflows, support bots, or data pipelines, this category helps you compare APIs by real behavior—not hype—so you can plug the right tool into production with confidence.
58 resources across tools, rankings, comparisons & guides
Dolphin (ByteDance)
Self-hosted PDF-to-Markdown that preserves most text and tables, but drops charts and struggles with repeated images.
HrFlow
HrFlow is an API-first resume parser that covers core fields well, but needs cleanup for phones, casing, and certifications.
AI for Database
Plain-English live database querying with inline SQL, charts, follow-ups, and cost visibility.
MinerU
Open-source PDF-to-markdown that keeps figures and charts in place, but tables and punctuation can get messy on complex files.
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.
Replit
Replit can turn a plain-text workflow prompt into a polished animated diagram app, but it does so through a coding agent rather than a templated diagram generator.
Best Open-Source Libraries for PDF to Markdown Conversion
We tested five open-source PDF-to-Markdown libraries on the same three mixed PDFs — a hybrid annual report, a table-heavy financial filing, and a scanned research paper — to compare text preservation, table reconstruction, chart handling, image retention, reading order, and OCR behavior.
MarkItDown
Fast native-PDF text extraction for markdown, but structure, charts, images, and scans are unreliable.
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.
Reducto
Hosted PDF-to-Markdown plus schema extraction with citations; strong on invoices, mixed on tables and bank statements.
Cognee
Inspectable graph-backed memory for AI agents, with strong provenance tracing but cautious update/delete behavior.
Supermemory
Hosted agent memory with strong capture and scoping, but mixed retrieval and weak forget behavior.
Hindsight
Selective, inspectable memory for real agent workflows, with strong retrieval and scope control.
Mem0
Mem0 remembers useful agent context across sessions and makes retrieved memory visible, but stale context can linger after updates or forget requests.
Zep
Developer-first memory for AI agents that captures workflow context well, but still needs stronger stale-memory and forget control.
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.