AI · alternatives · 2026
24 alternatives to VDP – open-source unstructured visual data ETL
Hi HN - We're Ping-Lin and Xiaofei from Instill AI (https://www.instill.tech). We're building VDP (https://github.com/instill-ai/vdp), an open-source ETL tool for unstructured visual data. When people say they are data-driven, most of the time it means they are driven by structured data. I will cut the part where we cite reports claiming that 80% of data are unstructured. The reality is unstructured data are more difficult to analyse and not a lot of companies know or have the resources to deal with them. Before starting Instill AI, we were in a smart video…
VDP is an open-source ETL tool designed to process unstructured visual data, helping companies that lack resources or expertise to handle image and video analysis at scale. Built by Instill AI, it addresses the… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. VDP – open-source unstructured visual data ETL launched in 2022; newer entries below may have overtaken it.
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Instill VDP▲130Open source unstructured data ETL for AI first applications
2024 · instill-ai.com · its alternatives →
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Pandada AI▲620Build data wealth: Turns files into McKinsey-level insights
Jan 2026 · pandada.ai · its alternatives →
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DataSquirrel.ai▲288Data analytics and BI for non-tech managers
2024 · datasquirrel.ai · its alternatives →
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Hey HN, I'm Adithya, a 20-year-old dev from India. I have been working with GenAI for the past year, and I've found it really painful to deal with the many different forms of data out there and get the best representation of it for my AI applications. That's why I built OmniParse—an open-source platform designed to handle any unstructured data and transform it into optimized, structured representations. Key Features: - Completely local processing—no external APIs - Supports ~20 file types - Converts documents, multimedia, and web pages to high-quality structured markdown - Table extraction,…
2024 · github.com · its alternatives →
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DataSquirrel.ai▲268Fastest way: csv/xls to dashboard report, no ChatGPT upload
2023 · datasquirrel.ai · its alternatives →
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Dify.AI▲261Open-source platform for LLMOps, define your AI-native apps
2023 · dify.ai · its alternatives →
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Analyzing and visualizing data from CSV files
2025 · claude.com · its alternatives →
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Built a tool for transforming unstructured data into structured outputs using language models (with 100% adherence). If you're facing problems getting GPT to adhere to a schema (JSON, XML, etc.) or regex, need to bulk process some unstructured data, or generate synthetic data, check it out. We run our own tuned model (you can self-host if you want), so, we're able to have incredibly fine grained control over text generation. Repository: https://github.com/automorphic-ai/trex Playground: https://automorphic.ai/playground
2023 · automorphic.ai · its alternatives →
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Context Data▲179Data processing infra & ETL for generative AI applications
2024 · contextdata.ai · its alternatives →
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The traditional pipeline for unstructured data extraction typically follows these steps: 1. Image → OCR Model (e.g., Google Vision) → Layout Model (e.g. Surya) → LLM → Final Answer However, this can be streamlined using a Vision-Language Model (VLM): 2. Image → VLM → Final Answer Recently VLMs have improved a lot for OCR and document understanding tasks, specifically the Qwen-2.5-VL series. We can run the Qwen-2.5-VL-7B-AWQ model locally with just 16GB VRAM, and perform end-to-end information extraction (fields and table extraction) without any external models. Hallucination with VLMs One…
2025 · github.com · its alternatives →
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Creating data visualizations with AI nowadays often means chat, chat and more chats...and writing long prompts can be annoying while they are also not the most effective way to describe your visualization designs. Data Formulator blends UI interaction with natural language so that you can create visualizations with AI much more effectively! You can: * create rich visualizations beyond initial datasets, where AI helps transforming and visualizing data along the way * iterate your designs and dive deeper using data threads, a new way to manage your conversation with AI. Here is a demo video:…
2024 · github.com · its alternatives →
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Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com · its alternatives →
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Hey HN, I wanted to share a new project we've been working on for the last couple of months called ART (https://github.com/OpenPipe/ART). ART is a new open-source framework for training agents using reinforcement learning (RL). RL allows you to train an agent to perform better at any task whose outcome can be measured and quantified. There are many excellent projects focused on training LLMs with RL, such as GRPOTrainer (https://huggingface.co/docs/trl/main/en/grpo_trainer) and verl…
2025 · github.com · its alternatives →
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Extract structured data from unstructured documents with AI
2025 · app.unstructure.ai · its alternatives →
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2022 · go.instill.tech · its alternatives →
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Hey HN! We're excited to announce the launch of Tonic Textual, the secure data lakehouse for LLMs. Simply stated, Tonic Textual allows you to build generative AI systems on your own unstructured data without having to spend time extracting and standardizing your data. In minutes you can build automated, scalable unstructured data pipelines that extract, centralize, standardize, and enrich data from your documents into an AI-optimized format ready for embedding, fine-tuning, and ingesting into a vector database. While in-flight, we also scan for sensitive information and protect it via…
2024 · tonic.ai · its alternatives →
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Search, visualize and analyze spatial and unstructured data
2022 · portal.unstruk.ai · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →