AI · alternatives · 2026
24 alternatives to I compressed 10k PDFs into a 1.4GB video for LLM memory
While building a Retrieval-Augmented Generation (RAG) system, I was frustrated by my vector database consuming 8GB RAM just to search my own PDFs. After incurring $150 in cloud costs, I had an unconventional idea: what if I encoded my documents into video frames? The concept sounded absurd—storing text in video? But modern video codecs have been optimized for compression over decades. So, I converted text into QR codes, then encoded those as video frames, letting H.264/H.265 handle the compression. The results were surprising. 10,000 PDFs compressed down to a 1.4GB video file. Search…
This project compresses 10,000 PDFs into a 1.4GB video file by encoding document chunks as QR codes and leveraging video codec compression. It is designed for developers building retrieval systems who want to reduce… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files. Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output. On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte). It's pretty slow right now (roughly 20–30 minutes of training and 45 minutes each for compression and decompression on my…
Jun 2026 · its alternatives →
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repo of my sizecoding entries. Contribute to ilmenit/sizecoding development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Peter Hrynkow - Vancouver Tech Leader
2015 · peterhrynkow.com · its alternatives →
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Hey HN, we’re Adi and Arnav. A few months ago, we hit a wall trying to get LLMs to answer questions over research papers and instruction manuals. Everything worked fine, until the answer lived inside an image or diagram embedded in the PDF. Even GPT‑4o flubbed it (we recently tried O3 with the same, and surprisingly it flubbed it too). Naive RAG pipelines just pulled in some text chunks and ignored the rest. We took an invention disclosure PDF (https://drive.google.com/file/d/1ySzQgbNZkC5dPLtE3pnnVL2rW_9...) containing an IRR‑vs‑frequency graph and asked GPT “From…
2025 · github.com · its alternatives →
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I know there are various tools that are supposed to make this easy, but I couldn't find anything that did everything I wanted, so I made this today for fun. The web-based offerings all take forever and seem flaky, and you need to process one video at a time, with no control over the transcription settings. In contrast, my script lets you convert a whole playlist in bulk with full control over everything. It's truly easy to use-- you can clone the repo, install to a venv, and be generating a folder full of high quality transcript text files in under 5 minutes. All you need to do is supply the…
2023 · github.com · its alternatives →
- 7OS
2018 · anfractuosity.com · its alternatives →
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I've developed a simple AI-powered video-to-text converter. Upload your video, and within minutes, its content will be converted into clear, searchable text. Our AI accurately captures spoken language, identifies different speakers and accents, reviews the generated transcript, and exports it in your preferred format—including TXT, DOCX, PDF, SRT, or VTT. You can then edit it, use it for subtitles, or share it anywhere. Everything runs directly in your browser. I'm primarily interested in feedback on output quality, user experience, and any technical improvements worth exploring.
Aug 2026 · videocompress.ai · its alternatives →
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Compress video files by at least 50% with no loss of quality
2022 · steelsoft.site · its alternatives →
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Hi HN, I’ve been experimenting with archive format design and built 6cy as a research project. The goal is not to replace zip/7z, but to explore: • block-level codec polymorphism (different compression per block) • streaming-first layout (no global seek required) • better crash recovery characteristics • plugin-based architecture so proprietary codecs can exist without changing the format Right now this is an experimental v0.x format. The specification may still change and compatibility is not guaranteed yet. I’m mainly looking for feedback on the format design rather than performance…
Feb 2026 · github.com · its alternatives →
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Find bloated videos by MB/sec and compress them with H.265
Mar 2026 · cinecinch.com · its alternatives →
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Embeddable minimal in-memory GZIP decompression library for embedded systems - wkoszek/mini_gzip
2015 · github.com · its alternatives →
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Properties of a Novel Binary Representation of Integers using Base-𝜙 - irradix/paper.md at main · DOSAYGO-STUDIO/irradix
2024 · github.com · its alternatives →
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Compress & resize your large video files to save disk space
2020 · play.google.com · its alternatives →
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Thought I'd dive into this cool streaming/approximation algorithms problem I encountered a few months ago. TLDR: we can create our own custom floating point representation for encoding and decoding integers and use this to index into a tiny 2D histogram, upper-bounding approximation error based on the number of bits per integer we specify to keep. --- Broadly useful for aggregating statistics from massive data streams of user data. Also turns out this is incredibly similar to data structures used in production, like HDRHistogram.
Jan 2026 · alexkranias.com · its alternatives →
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100% secure and free online compression, productivity tools
Mar 2026 · 1mbcompress.com · its alternatives →
- 18IB
Compress high quality JPEG images 35% more than traditional codecs.
2024 · optimize.photos · its alternatives →
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RAGLite is a Python package for building Retrieval-Augmented Generation (RAG) applications. RAG applications can be magical when they work well, but anyone who has built one knows how much the output quality depends on the quality of retrieval and augmentation. With RAGLite, we set out to unhobble RAG by mapping out all of its subproblems and implementing the best solutions to those subproblems. For example, RAGLite solves the chunking problem by partitioning documents in provably optimal level 4 semantic chunks. Another unique contribution is its optimal closed-form linear query adapter…
2024 · github.com · its alternatives →
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Hi HN! Vectara is a "batteries included" retrieval augmented generation platform. You can upload your rich text documents like PDFs, HTML pages, word docs, etc, or semi-structured JSON and Vectara handles the text and metadata extraction, segmentation, vector embedding, and vector storage, and keyword storage. You can ask a question or perform a search in the UI or via our APIs and Vectara will automatically handle the vectorization, structured metadata filtering, vector+keyword retrieval, hybrid blending, and generative summarization of the results. We're focusing on building and…
2023 · vectara.com · its alternatives →
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Hey HN, solo dev here. After years of frustration with how LLMs handle complex documents, especially PDFs with tables, I decided to build a solution myself. My approach uses a Markdown conversion step to preserve the table structure, which seems to work surprisingly well for chunking. This little parser is the first public piece of a much larger, privacy-focused AI platform I'm building. I'm pretty much running on fumes financially, so any feedback, critique, or support is massively appreciated. Happy to answer any questions about the approach!
Nov 2025 · github.com · its alternatives →
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Reduce video file size by 90% and free forever
2024 · videocompress.prolab.sh · 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 →