AI Movie Finder – I created a way to find movies by describing
Hi Hacker News, I'm excited to share a project I've been passionately working on in my spare time: AI Movie Finder (https://www.aimoviefinder.com). The idea was born out of a simple, yet frequent, frustration: having a movie on the tip of my tongue but being unable to recall the title. All I could remember were fragments – a specific scene, a snippet of dialogue, the general plot, or even just the mood it evoked. Traditional search engines often fell short with these kinds of abstract queries. So, I decided to build a solution. AI Movie Finder uses a natural language processing…
In plain words
AI Movie Finder helps users locate films by describing scenes, dialogue, plot points, or moods they remember rather than searching by title. The tool uses natural language processing to interpret vague or fragmented descriptions and match them to movies. It is designed for viewers who recall specific moments or feelings from a film but cannot remember its name, offering a more intuitive alternative to traditional keyword-based search engines.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi Hacker News, I'm excited to share a project I've been passionately working on in my spare time: AI Movie Finder (https://www.aimoviefinder.com). The idea was born out of a simple, yet frequent, frustration: having a movie on the tip of my tongue but being unable to recall the title. All I could remember were fragments – a specific scene, a snippet of dialogue, the general plot, or even just the mood it evoked. Traditional search engines often fell short with these kinds of abstract queries. So, I decided to build a solution. AI Movie Finder uses a natural language processing model to understand these descriptive and sometimes vague queries. You can type in things like: "that movie where a guy keeps reliving the same day" "a sci-fi film with a blue alien opera singer" "a feel-good movie about a band in the 80s" The goal is to make movie discovery more intuitive and human-like. Instead of just searching by actors or exact titles, you can search by memory and feeling. The backend is built with Python and utilizes a fine-tuned sentence transformer model to create vector embeddings for a large movie database. The frontend is a clean and simple interface built with vanilla JavaScript to keep it fast and accessible. This is still very much a work in progress, and the database is continuously growing. I'm actively working on improving the model's accuracy and expanding the search capabilities. I would love to get your feedback. Please give it a try and let me know what you think. I'm particularly interested in: How well does it work for your queries? Are there any features you think would be a great addition? Any suggestions on how to improve the model or the user experience? Thanks for checking it out! I'll be here to answer any questions.
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