Hi everyone！
Qwen-VL is seriously impressive, especially with its multi-modal capabilities from the Qwen team and it's focused on visual understanding!
What's interesting about this:
🖼️ Image Question Answering: Describes content, classifies and labels elements like people, places, animals with incredible accuracy.
🧮 Mathematical Problem Solving: Solves math problems directly from images - perfect for education and training applications. This is a major differentiator.
📹 Video Understanding: Analyzes video content, locates specific events, gets timestamps, generates summaries of key segments.
📍 Object Localization: Locates objects and returns precise coordinates of bounding boxes or centroids. Strong performance on spatial tasks.
📄 Document Parsing: Parses image-based documents into QwenVL HTML format while preserving position information of elements like images and tables.
🔤 Multi-language OCR: Recognizes text and formulas in 11+ languages including Chinese, English, Japanese, Korean, Arabic, Vietnamese, French, German, Italian, Spanish, Russian.
The math from pictures is super cool. Kids could just take a photo of a problem and learn step by step. Big help for schools.
Math + logic + coding in one tool. This can really boost productivity. Congrats on the launch 🎉
Impressive update . Web reading + reasoning is a big win 🌐. Team is moving fast ⚡!
Want to know which IM software is supported?
I really need a chat assistant to remember the key points between me and my girlfriend, otherwise I will be scolded often, hahahaha
A lot of potential here but testing will prove more than any preview metrics.
Complex problem solving is exciting but resource efficiency could make or break scaling.
This updates feels like a real productivity boost. Congrats on the launch!
Impressive to see how it handles both math and visual. Cheers on the launch.
Impressive positioning, though it risks being compared directly with much larger models.
Great to see open-source coming, but the timeline matters a lot for community trust.
I really love Qwen, it's truly a reliable partner, and its product iterations are leading the world! Especially with the addition of Video Understanding this time, it such a blessing for us who work with videos. Thank you, this is amazing! @QWQ-Max
About Qwen Chat on Product Hunt
“Qwen Chat Now Reads Web Pages”
Qwen Chat launched on Product Hunt on August 28th, 2025 and earned 162 upvotes and 3 comments, placing #9 on the daily leaderboard. Qwen Chat can now directly read and process the content of any web page when you simply paste a link into the chat.
Qwen Chat was featured in API (98k followers), Open Source (68.3k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 107.2k products, making this a competitive space to launch in.
Who hunted Qwen Chat?
Qwen Chat was hunted by Aleksandar Blazhev. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Qwen Chat stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Aleksandar Blazhev