
Page Flows
Mobbin
UI Movement
Muz.li
UX Archive Animated
Refero Design
pttrns
UI Garage
Parseflow.tech
Reducto
Mindee
ABBYY
ParseFlow is a document parsing API that converts PDFs, DOCX files, and plain text into structured, evidence-backed JSON output for developers, automations, and AI workflows.
Unlike tools that return opaque extracted values, ParseFlow includes evidence metadata with every result โ confidence scores, source character offsets, and evidence snippets showing exactly where each value came from. This makes output easier to verify, debug, and trust in production.
Key features: - Structured JSON extraction with evidence spans - Table-aware chunking with presets for RAG, summarization, and extraction - Async jobs and batch processing - LangChain and LlamaIndex adapters - MCP / OpenClaw tooling support - BYOK for advanced extraction with your own model provider keys - Free deterministic tier for evaluation
Best use cases: invoice processing, contract clause extraction, receipt parsing, document intake pipelines, RAG preprocessing, AI workflow integration.
Built by a student. Priced for builders and small teams.
Free deterministic tier available. Starter: $10/month Growth: $15/month
Docs: docs.parseflow.tech
Page Flows
Parseflow.techPage Flows is highly recommended for UX/UI designers, product managers, developers, and anyone involved in app design and improvement. It's especially beneficial for those looking to gather ideas for their own projects or wanting to stay updated with modern design approaches.
Parseflow.tech's answer:
Parseflow is built for solo devs and small teams. Unlike competitors, Parseflow has a simple set up and usage and is much more affordable compared to enterprise options while offering the same features and quality.
Parseflow.tech's answer:
As a student, AI chatbots and LLMs would always struggle to understand correctly my school homework and documents. To fix this, I built Parseflow to help improve the context for AI models simply to help me complete my homework. Today, Parseflow has become a finished product that can parse, chunk and organize all types of documents to improve context and reduce token usage.
Parseflow.tech's answer:
Parseflow is completely built with Python.
Based on our record, Page Flows seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Page Flows: This is more of a UX website, but it helps you understand UX better which also helps you understand conversion principles better. Def. Check itโs case studies for yourself. Source: about 3 years ago
My favorite place to audit onboarding flows is pageflows. Source: about 3 years ago
Step 2: Understand UI design. Https://www.interaction-design.org/literature/topics/ui-design Https://uxplanet.org/what-is-ui-vs-ux-design-and-the-difference-d9113f6612de Visual Understanding Https://mobbin.com/browse/android/apps Https://pageflows.com/ Https://godly.website/ Https://nicelydone.club/. - Source: dev.to / over 3 years ago
Startup Stash โข Tools and resources for entrepreneurs Integrations Directory โข Directory of integrations for your no-code product. One Page Love โข Find inspiration from one-page websites Do Things That Donโt Scale โข Collection of unscalable startup hacks NoCodeList โข Software for your projects Page Flows โข User design flow inspiration Stackshare โข Find software for your projects and business Side Hustle... Source: over 3 years ago
Page flows is pretty useful. Seeing how other tools solved for similar workflows can definitely spark ideas. Source: almost 4 years ago
Mobbin - Latest mobile design patterns & elements library
Reducto - Reducto is the complete agentic document platform for leading AI teams needing performance at enterprise scale.
UI Movement - The best UI design inspiration, daily
Mindee - Extract any data point, from any document, in a second
Muz.li - Global directory of product designers
ABBYY - ABBYY's leading AI and machine learning technology solutions range from process analysis, data capture, pdf editor, text and content recognition (OCR) and extraction, combining process and content insights to deliver digital intelligence.