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Parseflow.tech
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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
Parseflow.techPixiv is best suited for digital artists seeking to share their work with a broader audience, people looking for art inspiration, and fans of manga and anime-style art. It's also ideal for those who enjoy participating in an interactive art community and engaging with creative content.
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, pixiv seems to be more popular. It has been mentiond 24 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.
The developers of pixiv.net blocked the country you're from. Source: over 3 years ago
Also most of the fanart is on pixiv.net , just type ใจใชใใฎๆช็ฉใใ on the search bar, there's like 3000 results. Source: over 3 years ago
This is embarrassing, but I have no idea what I even did, I am not tech savvy, and I need help fixing it. I was looking online about how to block the premium "popular" search on pixiv.net. Someone said to just click "inspect" and delete the piece of code that contained the pop up. Sure, why not, I thought, and I clicked inspect, and hit "delete" on the portion I thought might be it. Now my page is permanently... Source: almost 4 years ago
I keep on getting an error code 520 and apparently, the host (which is pixiv.net) is not working? Anyone experiencing this too? Source: almost 4 years ago
Thanks and you're welcome ^^ As far as I know most VA's get the artwork either from pixiv.net, picrew.me (it's basically a website where you can find some presets for characters and play with the options a bit in order to get the look you want), maybe some other platforms or they even commission the artwork. Though most of the bigger VA's have their artwork commissioned because it's the safest and easiest way for... Source: almost 4 years ago
DeviantArt - deviantART was created to entertain, inspire, and empower the artist in all of us.
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Dribbble - Shots from popular and up and coming designers in the Dribbble community, your best resource to discover and connect with designers worldwide.
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.