Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

🚀Introducing DocScan A serverless in-browser document scanner with real-time scanning,ID processing & built in OCR ⚙️ DocScan is among the first web platform to bundle this complete document-processing stack without uploading files to any server 🔗

Rock4754's profile picture

Rock

1,612 subscribers

24,897 görüntüleme • 4 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

🚀 Introducing Browser AI: Run powerful LLMs directly in your browser! 🔒 Complete privacy - no servers needed 💻 100% client-side processing ⚡️ Fast & lightweight Experience the future of web AI! Github Repo in the comments!
1:31

🚀 Introducing Browser AI: Run powerful LLMs directly in your browser! 🔒 Complete privacy - no servers needed 💻 100% client-side processing ⚡️ Fast & lightweight Experience the future of web AI! Github Repo in the comments!

Saurav Panda

51,488 görüntüleme • 1 yıl önce

IN NEWS: Extend raises a $17M round. "More documents will be processed in the next 6 months than all of history combined since the PDF was invented." - Kushal Byatnal "The global economy runs off of PDF files." "With LLMs, the capabilities are so much higher (for document processing and today's demand for document processing is through the roof.
1:17

IN NEWS: Extend raises a $17M round. "More documents will be processed in the next 6 months than all of history combined since the PDF was invented." - Kushal Byatnal "The global economy runs off of PDF files." "With LLMs, the capabilities are so much higher (for document processing and today's demand for document processing is through the roof.

TBPN

34,026 görüntüleme • 11 ay önce

do you ever have a fish to fry but your hands are too dirty? our new intern Ian Baime built a crazy real-time voice to browser automation and this was his demo... the stack 🤖 > for fast inference > for browser automation > Cartesia for voice processing
0:27

do you ever have a fish to fry but your hands are too dirty? our new intern Ian Baime built a crazy real-time voice to browser automation and this was his demo... the stack 🤖 > for fast inference > for browser automation > Cartesia for voice processing

Sarah Chieng

42,436 görüntüleme • 10 ay önce

This is the future of web design. I generated a website in seconds from a PDF document (with drawings, text, and images). No input from my part. No code. No work whatsoever other than uploading the document. This is incredible.
1:12

This is the future of web design. I generated a website in seconds from a PDF document (with drawings, text, and images). No input from my part. No code. No work whatsoever other than uploading the document. This is incredible.

Santiago

103,690 görüntüleme • 1 yıl önce

🚀 The Google DeepMind team just added Gemini 3.1 to the Live API, so we built a small demo showing how Gemini voice agents can plug directly into the document processing ecosystem powered by LlamaIndex. 🔥 In this example, we integrate LiteParse to enable fast, fully-local document parsing. With our TUI-based voice assistant, you can literally talk to your terminal: - Speak commands - Trigger live document parsing via tool calls - Hear the agent read back results in real time 🔊 The assistant can extract content from single files or entire folders, leveraging the lightning-fast local parsing that LiteParse provides ⚡ Take a look at the demo👇 👩‍💻 GitHub repo 📚 LiteParse docs
0:24

🚀 The Google DeepMind team just added Gemini 3.1 to the Live API, so we built a small demo showing how Gemini voice agents can plug directly into the document processing ecosystem powered by LlamaIndex. 🔥 In this example, we integrate LiteParse to enable fast, fully-local document parsing. With our TUI-based voice assistant, you can literally talk to your terminal: - Speak commands - Trigger live document parsing via tool calls - Hear the agent read back results in real time 🔊 The assistant can extract content from single files or entire folders, leveraging the lightning-fast local parsing that LiteParse provides ⚡ Take a look at the demo👇 👩‍💻 GitHub repo 📚 LiteParse docs

LlamaIndex 🦙

14,766 görüntüleme • 2 ay önce

Introducing Omnidocs - Unified Visual Document processing toolkit ✅ 6+ document processing tasks ✅ 15+ Model supported ✅ Runs on consumer GPU/ Mac ✅ Supports multiple backend - Pytorch, vllm, mlx, open responses API Get started → pip install omnidocs✅
1:17

Introducing Omnidocs - Unified Visual Document processing toolkit ✅ 6+ document processing tasks ✅ 15+ Model supported ✅ Runs on consumer GPU/ Mac ✅ Supports multiple backend - Pytorch, vllm, mlx, open responses API Get started → pip install omnidocs✅

Adithya S K

22,111 görüntüleme • 3 ay önce

DOCUMENT PROOF Governor of Maine Janet Mills’ brother is processing real estate transfer documents of properties in Maine to China This is the same brother of Janet Mills who helped transfer properties to a Chinese national who owns multiple marijuana grows in the state of Maine
1:02

DOCUMENT PROOF Governor of Maine Janet Mills’ brother is processing real estate transfer documents of properties in Maine to China This is the same brother of Janet Mills who helped transfer properties to a Chinese national who owns multiple marijuana grows in the state of Maine

Wall Street Apes

108,240 görüntüleme • 10 ay önce

Imagine roman engineers at the time discussing this in latin, proceeding to just use it without even leaving any written document.
1:56

Imagine roman engineers at the time discussing this in latin, proceeding to just use it without even leaving any written document.

VIKARE

7,270,139 görüntüleme • 4 ay önce

OpenBlood2 progress report: door are opening (mostly), PNC loading is in progress, I need to work on the animation system. Multi REZ support, allowing modding. Post processing stack, Skybox and more! Also a big effort to document everything #gamedev #blood #retro #cpp #sdl3
1:06

OpenBlood2 progress report: door are opening (mostly), PNC loading is in progress, I need to work on the animation system. Multi REZ support, allowing modding. Post processing stack, Skybox and more! Also a big effort to document everything #gamedev #blood #retro #cpp #sdl3

Yannick Comte

30,475 görüntüleme • 5 ay önce

🚀 We built drones that fly without GPS, without radio, without fear. Now you can build with the same tech. Introducing JETCORE — our compute module for real-time AI at the edge. Trusted in the field. Built for your autonomy stack. 🛒 Available now:
0:28

🚀 We built drones that fly without GPS, without radio, without fear. Now you can build with the same tech. Introducing JETCORE — our compute module for real-time AI at the edge. Trusted in the field. Built for your autonomy stack. 🛒 Available now:

VECROS

70,743 görüntüleme • 10 ay önce

Box AI now has support for @xAI's Grok 3 in beta. Check out how to use Grok 3 in the Box AI API for advanced document processing, data extraction, and Q&A in your app.
3:02

Box AI now has support for @xAI's Grok 3 in beta. Check out how to use Grok 3 in the Box AI API for advanced document processing, data extraction, and Q&A in your app.

Box

399,261 görüntüleme • 1 yıl önce

Vision-based(Colapli) RAG is becoming popular, so we built a platform to compare: - Simple OCR RAG - VisionRAG - Colpali - Hybrid Colpali 🚀 Introducing VARAG – the Vision-First RAG Engine (Vision Augmented Retrieval and Generation).
2:19

Vision-based(Colapli) RAG is becoming popular, so we built a platform to compare: - Simple OCR RAG - VisionRAG - Colpali - Hybrid Colpali 🚀 Introducing VARAG – the Vision-First RAG Engine (Vision Augmented Retrieval and Generation).

Adithya S K

95,370 görüntüleme • 1 yıl önce

Air travelers in the U.S. without a REAL ID or another acceptable document, such as a passport, will be charged a $45 fee beginning in February. Here's what to know.
0:40

Air travelers in the U.S. without a REAL ID or another acceptable document, such as a passport, will be charged a $45 fee beginning in February. Here's what to know.

The Associated Press

84,548 görüntüleme • 6 ay önce

Today, we're introducing our document parser built specifically for RAG. The parser combines the best vision, OCR, and vision language models to deliver unmatched accuracy. Try it for free today—the first 500+ pages are on us! 🧵 1/
1:51

Today, we're introducing our document parser built specifically for RAG. The parser combines the best vision, OCR, and vision language models to deliver unmatched accuracy. Try it for free today—the first 500+ pages are on us! 🧵 1/

Douwe Kiela

1,308,495 görüntüleme • 1 yıl önce

Introducing Lemon Slice Live: the first real-time audio-video AI model Anyone can video chat with any character by just uploading a single photo. Every pixel on the screen is rendered at 25fps in real-time by a transformer model. Here’s how we built it + a live demo! 👇
0:23

Introducing Lemon Slice Live: the first real-time audio-video AI model Anyone can video chat with any character by just uploading a single photo. Every pixel on the screen is rendered at 25fps in real-time by a transformer model. Here’s how we built it + a live demo! 👇

LemonSlice

170,779 görüntüleme • 1 yıl önce

Incredibly excited to share more about Reducto Studio today. We started by building the most accurate APIs, and are now building a platform to help everyone use them. Studio is a toolkit for building, evaluating, and deploying production-ready document processing pipelines.
1:13

Incredibly excited to share more about Reducto Studio today. We started by building the most accurate APIs, and are now building a platform to help everyone use them. Studio is a toolkit for building, evaluating, and deploying production-ready document processing pipelines.

Adit

22,422 görüntüleme • 11 ay önce

Baidu Inc. just dropped PaddleOCR-VL-1.5, and it’s not just another OCR model. This is a fully open-source OCR model with just 0.9B parameters, built specifically for production-grade document understanding. And the results speak loudly 👇 On OmniDocBench V1.5, the most authoritative global document parsing benchmark, PaddleOCR-VL-1.5 ranks #1 overall, hitting 94.5% overall accuracy, outperforming models like DeepSeek-OCR2. As the first OCR model natively supporting irregular document layout positioning, it perfectly solves OCR pain points in production for complex structured business documents such as financial reports and insurance forms. While a lot of the industry is racing toward bigger models, PaddleOCR is betting on something smarter: small parameters + high performance + open source + real usability. That combination is exactly what scalable document intelligence needs right now. Demo / API → Open source → Model → Curious to see how teams start building on top of this.
0:29

Baidu Inc. just dropped PaddleOCR-VL-1.5, and it’s not just another OCR model. This is a fully open-source OCR model with just 0.9B parameters, built specifically for production-grade document understanding. And the results speak loudly 👇 On OmniDocBench V1.5, the most authoritative global document parsing benchmark, PaddleOCR-VL-1.5 ranks #1 overall, hitting 94.5% overall accuracy, outperforming models like DeepSeek-OCR2. As the first OCR model natively supporting irregular document layout positioning, it perfectly solves OCR pain points in production for complex structured business documents such as financial reports and insurance forms. While a lot of the industry is racing toward bigger models, PaddleOCR is betting on something smarter: small parameters + high performance + open source + real usability. That combination is exactly what scalable document intelligence needs right now. Demo / API → Open source → Model → Curious to see how teams start building on top of this.

Bishal Nandi

35,318 görüntüleme • 4 ay önce

Parsing documents with AI agents just got a lot more seamless🚀 We've rebuilt the LlamaParse MCP server to handle your document processing workflows, and you can connect it today to any MCP-compatible client at 🌐 Once connected, you'll be able to: 📁 Parse documents into clean markdown 🔍 Classify files against your own categories ✂️ Split long documents into labelled sections ⬆️ Upload files via URL or a browser-based upload flow Building a production MCP server surfaced some non-obvious challenges: getting auth to align with an existing platform identity system using WorkOS, working around MCP's lack of built-in file upload support, and making deployments, rate limiting and observability feel native with Vercel and Axiom. We wrote up all of it, from the OAuth flow, to the token-based upload design, to the tradeoffs we hit along the way📝 📚 Read the full blog: 👩‍💻 GitHub repository:
1:01

Parsing documents with AI agents just got a lot more seamless🚀 We've rebuilt the LlamaParse MCP server to handle your document processing workflows, and you can connect it today to any MCP-compatible client at 🌐 Once connected, you'll be able to: 📁 Parse documents into clean markdown 🔍 Classify files against your own categories ✂️ Split long documents into labelled sections ⬆️ Upload files via URL or a browser-based upload flow Building a production MCP server surfaced some non-obvious challenges: getting auth to align with an existing platform identity system using WorkOS, working around MCP's lack of built-in file upload support, and making deployments, rate limiting and observability feel native with Vercel and Axiom. We wrote up all of it, from the OAuth flow, to the token-based upload design, to the tradeoffs we hit along the way📝 📚 Read the full blog: 👩‍💻 GitHub repository:

LlamaIndex 🦙

19,601 görüntüleme • 1 ay önce

Made in NYC with AWS: Kushal Byatnal, CEO & Co-founder, Extend. Byatnal talks building document processing pipelines and building a successful startup in New York. From migrating to the city to migrating to AWS, the founder discusses the need for speed and the importance of partnership.
1:22

Made in NYC with AWS: Kushal Byatnal, CEO & Co-founder, Extend. Byatnal talks building document processing pipelines and building a successful startup in New York. From migrating to the city to migrating to AWS, the founder discusses the need for speed and the importance of partnership.

AWS Startups

19,746,195 görüntüleme • 2 ay önce

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:
1:48

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

80,860 görüntüleme • 8 ay önce