Mindket

Image To Text

Newversion 1 · updated

Overview

Turns an uploaded image into a text prompt with the Florence-2-base model. Runs in the browser as a small Gradio app on basic CPU hardware.

Image To Text 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.

At a glance

You need
  • Python and pip
  • The huggingface_hub package, which gives you the hf command
  • Disk space for the repository, which holds 4 files
Runs in
  • A web browser, on the Space's page at Hugging Face
  • Windows, with Python
  • macOS, with Python
  • Linux, with Python
Start with
pip install -U huggingface_hub
hf download Jonny001/Image-to-Text --repo-type space --local-dir Image-to-Text
cd Image-to-Text

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Image To Text takes a picture and gives you a written prompt for it. It uses Microsoft's Florence-2-base model inside a small Gradio app. The Space runs on Hugging Face, so you can try it in a browser with nothing to install.

Who it suits

People who need words for a picture, such as a prompt to feed another tool, and developers who want a short example of a Florence-2 model in Gradio.

IndustryWho uses itHow they use itExample
Image generationPrompt writersTurn a reference picture into a promptUpload a photo and read the prompt
Content creationDesignersGet a quick written description of a pictureDescribe an image they want to recreate
SoftwareDevelopersStudy a small app that wraps one vision modelDownload the Space and read app.py
EducationStudentsSee what a vision model says about a pictureCompare the output across several images

Anyone who never works with images or prompts can skip it.

Where to use it

It runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • Windows, with Python
  • macOS, with Python
  • Linux, with Python
Use caseWhoWhat they get back
Make a prompt from an imagePrompt writersA written prompt for the picture
Describe an imageDesigners and studentsA text description from Florence-2-base
Reuse the small appDevelopersA local copy with only a few files

How to set it up

Using the Space online needs only a browser. A copy on your own computer needs the following.

  • Python and pip
  • The huggingface_hub package, which gives you the hf command
  • Disk space for the repository, which holds 4 files
  1. Install the huggingface_hub package.
  2. Download the Space's files into a local folder.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses, then install the packages in requirements.txt.
  5. Start the app.
pip install -U huggingface_hub
hf download Jonny001/Image-to-Text --repo-type space --local-dir Image-to-Text
cd Image-to-Text
pip install gradio==5.29.1
pip install -r requirements.txt
python app.py

How to use it

Open the Space's page on Hugging Face, or run the app on your computer and open the page Gradio shows. Then upload an image and read the text it returns.

python app.py
ToolWhat it does
app.pyThe main file, it builds the Gradio page
hf downloadCopies the Space's files to your computer
requirements.txtLists the Python packages the app needs

Example

Open the Space in your browser and upload a photo of a lighthouse at dusk. You get back a line of text that describes the photo, which you can copy into another tool as a prompt.

For newcomers and experts

A prompt is the text you give an image tool to say what you want. This app goes the other way and writes one from a picture. The first small thing to try is the online Space with a photo you already have.

The Space names one model, Florence-2-base from Microsoft, and the repository is only a few files. It is set to run on Hugging Face's cpu-basic hardware, so no GPU is named. Running a copy locally means installing Gradio 5.29.1 and the packages in requirements.txt.

  1. You upload an image
  2. app.py passes it to Florence-2-base
  3. The model writes a text prompt
  4. The page shows the text

Good to know

The Space states no usage limits, so treat it as a small tool you can read and adapt.

  • License: mit
  • Cost to run: none named
  • Data it reaches: the image you upload, plus the Space files and model files that Hugging Face supplies
  • Hardware: the Space is set to cpu-basic at Hugging Face, and what your own computer needs is not stated

README and files

README

Image To Text

Turns an uploaded image into a text prompt with the Florence-2-base model. Runs in the browser as a small Gradio app on basic CPU hardware.

Made by Jonny001 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.

About

What it is: Image To Text takes a picture and gives you a written prompt for it. It uses Microsoft's Florence-2-base model inside a small Gradio app. The Space runs on Hugging Face, so you can try it in a browser with nothing to install.

Who it suits: People who need words for a picture, such as a prompt to feed another tool, and developers who want a short example of a Florence-2 model in Gradio.

Industry | Who uses it | How they use it | Example
Image generation | Prompt writers | Turn a reference picture into a prompt | Upload a photo and read the prompt
Content creation | Designers | Get a quick written description of a picture | Describe an image they want to recreate
Software | Developers | Study a small app that wraps one vision model | Download the Space and read app.py
Education | Students | See what a vision model says about a picture | Compare the output across several images

Anyone who never works with images or prompts can skip it.

Where to use it: It runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • Windows, with Python
  • macOS, with Python
  • Linux, with Python
Use case | Who | What they get back
Make a prompt from an image | Prompt writers | A written prompt for the picture
Describe an image | Designers and students | A text description from Florence-2-base
Reuse the small app | Developers | A local copy with only a few files

How to set it up: Using the Space online needs only a browser. A copy on your own computer needs the following.

  • Python and pip
  • The huggingface_hub package, which gives you the hf command
  • Disk space for the repository, which holds 4 files
  1. Install the huggingface_hub package.
  2. Download the Space's files into a local folder.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses, then install the packages in requirements.txt.
  5. Start the app.
pip install -U huggingface_hub
hf download Jonny001/Image-to-Text --repo-type space --local-dir Image-to-Text
cd Image-to-Text
pip install gradio==5.29.1
pip install -r requirements.txt
python app.py

How to use it: Open the Space's page on Hugging Face, or run the app on your computer and open the page Gradio shows. Then upload an image and read the text it returns.

python app.py
Tool | What it does
app.py | The main file, it builds the Gradio page
hf download | Copies the Space's files to your computer
requirements.txt | Lists the Python packages the app needs

Example: Open the Space in your browser and upload a photo of a lighthouse at dusk. You get back a line of text that describes the photo, which you can copy into another tool as a prompt.

For newcomers and experts: A prompt is the text you give an image tool to say what you want. This app goes the other way and writes one from a picture. The first small thing to try is the online Space with a photo you already have.

The Space names one model, Florence-2-base from Microsoft, and the repository is only a few files. It is set to run on Hugging Face's cpu-basic hardware, so no GPU is named. Running a copy locally means installing Gradio 5.29.1 and the packages in requirements.txt.

You upload an image
app.py passes it to Florence-2-base
The model writes a text prompt
The page shows the text

Good to know: The Space states no usage limits, so treat it as a small tool you can read and adapt.

  • License: mit
  • Cost to run: none named
  • Data it reaches: the image you upload, plus the Space files and model files that Hugging Face supplies
  • Hardware: the Space is set to cpu-basic at Hugging Face, and what your own computer needs is not stated

On Hugging Face, 13 November 2026

  • Likes: 32
  • Built with: gradio
  • License: mit

Links

Try it

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Image To Text This page32gradiomit
FLUX.1 [dev]Shares gradio9,583gradiomit
InstantIDShares gradio3,659gradioapache-2.0
Chat With Janus-Pro-7BShares gradio2,036gradiomit
PhotoMakerShares gradio1,960gradioapache-2.0
Z Image TurboShares gradio1,940gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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