anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Runs Flowise from the FlowiseAI account as a Docker app you open in a browser or build yourself. The card gives no feature list, so the page shows what it offers.
Flowise is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download FlowiseAI/Flowise --repo-type space --local-dir Flowise cd Flowise
This Space is the Flowise app published by the FlowiseAI account on Hugging Face. It is a Docker Space, which means the Dockerfile in the repository builds and starts the app. The repository holds only that Dockerfile and a README, and the card says nothing about what Flowise does.
People who want to open Flowise in a browser without installing it, and developers who want to build the same image on their own machine with Docker. It also suits readers checking how an app is packaged as a Docker Space.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | Developers | Try the app online before deciding to install it | Open the Space page in a browser |
| DevOps | Engineers | Build the image locally to see how it is packaged | Run docker build in the downloaded folder |
| Education | Students | Study a minimal Docker Space | Read the Dockerfile |
If you need a feature list before trying anything, you can skip it, because the card gives none.
The app runs in these places:
| Use case | Who | What they get back |
|---|---|---|
| Try it online | Anyone curious | Whatever the Flowise page offers |
| Study the packaging | Engineers | A short Dockerfile that builds the app |
| Run it locally | Developers | The same app on port 7860 of their own computer |
You need a few things first:
The steps download the Space, build a Docker image from it and run that image with port 7860 open.
pip install -U huggingface_hub hf download FlowiseAI/Flowise --repo-type space --local-dir Flowise cd Flowise docker build -t flowise . docker run -it -p 7860:7860 flowise
Open the Space page on Hugging Face, or run the last command above and open your browser on port 7860 of your own computer. What you can do there depends on the app, which the card does not describe.
| Tool | What it does |
|---|---|
| hf download | Copies the Space's files into a folder on your computer |
| docker build | Builds the image from the Dockerfile |
| docker run | Starts the app with port 7860 open |
You run the build and run commands above, then open your browser on port 7860. You see the app's own page, and you use it as its screens suggest.
If you are new to this, open the Space page and look around before installing anything. Docker is only needed for a local copy, and the online page needs nothing.
If you know the field, there is little to analyse in the repository itself: the whole Space is a Dockerfile and a README. The port is 7860, which is the one Hugging Face uses for Docker Spaces, and what the image contains is decided by the Dockerfile.
The card says almost nothing, so read the Dockerfile before running the image.
Runs Flowise from the FlowiseAI account as a Docker app you open in a browser or build yourself. The card gives no feature list, so the page shows what it offers.
Made by FlowiseAI on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This Space is the Flowise app published by the FlowiseAI account on Hugging Face. It is a Docker Space, which means the Dockerfile in the repository builds and starts the app. The repository holds only that Dockerfile and a README, and the card says nothing about what Flowise does.
Who it suits: People who want to open Flowise in a browser without installing it, and developers who want to build the same image on their own machine with Docker. It also suits readers checking how an app is packaged as a Docker Space.
Industry | Who uses it | How they use it | Example
Software | Developers | Try the app online before deciding to install it | Open the Space page in a browser
DevOps | Engineers | Build the image locally to see how it is packaged | Run docker build in the downloaded folder
Education | Students | Study a minimal Docker Space | Read the Dockerfile
If you need a feature list before trying anything, you can skip it, because the card gives none.
Where to use it: The app runs in these places:
Use case | Who | What they get back
Try it online | Anyone curious | Whatever the Flowise page offers
Study the packaging | Engineers | A short Dockerfile that builds the app
Run it locally | Developers | The same app on port 7860 of their own computer
How to set it up: You need a few things first:
The steps download the Space, build a Docker image from it and run that image with port 7860 open.
pip install -U huggingface_hub
hf download FlowiseAI/Flowise --repo-type space --local-dir Flowise
cd Flowise
docker build -t flowise .
docker run -it -p 7860:7860 flowise
How to use it: Open the Space page on Hugging Face, or run the last command above and open your browser on port 7860 of your own computer. What you can do there depends on the app, which the card does not describe.
Tool | What it does
hf download | Copies the Space's files into a folder on your computer
docker build | Builds the image from the Dockerfile
docker run | Starts the app with port 7860 open
Example: You run the build and run commands above, then open your browser on port 7860. You see the app's own page, and you use it as its screens suggest.
For newcomers and experts: If you are new to this, open the Space page and look around before installing anything. Docker is only needed for a local copy, and the online page needs nothing.
If you know the field, there is little to analyse in the repository itself: the whole Space is a Dockerfile and a README. The port is 7860, which is the one Hugging Face uses for Docker Spaces, and what the image contains is decided by the Dockerfile.
You open the Space or build the image
Docker starts the app on port 7860
You open it in a browser
You use the app's own screens
Good to know: The card says almost nothing, so read the Dockerfile before running the image.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Flowise This page | 132 | docker | mit | |
| Zero GPU SpacesShares docker | 985 | docker | mit | |
| KimodoShares docker | 340 | docker | apache-2.0 | |
| Harness LeaderboardShares docker | 323 | docker | apache-2.0 | |
| Multitrack Midi Music GeneratorShares docker | 130 | docker | mit | |
| MuseTalkDemoShares docker | 78 | docker | creativeml-openrail-m |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Qwen · Kit
Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…
ACE-Step · Kit
Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…
alirezarezvani · Skill
Adds 411 ready-made skills for Claude Code and other coding agents, grouped by role from engineering and product to marketing, finance and compliance. Installs…
block · Kit
Self-hostable workspace where people and AI agents share the same rooms, built on a Nostr relay that logs every action as a signed event. For teams that want t…
backnotprop · Kit
Opens your AI coding agent's plans, specs and code changes in a browser so you can annotate or comment on them and send the feedback straight back to the agent.