Imagine you have just published a new training course and are now waiting for your thumbnail because the designer is currently overloaded. This is exactly the problem you solve in this tutorial with Claude Cowork. You will learn how to give the AI a single prompt, have it search an entire folder of training videos, and generate matching thumbnails in the desired style. At the end, you will also convert the images directly into space-saving formats without opening an image editing program.
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Key Takeaways
- A base image with the desired style serves the AI as a guide. The more precisely you describe what should be adopted, the better the result will match.
- Claude Cowork needs access to the folder containing the videos. Without this access, the AI cannot analyze the content.
- The prompt should be clearly worded. In case of deviations such as unwanted text, a brief correction in a new request is enough.
- Resolution and file format can be specified directly in the prompt, for example 1200 × 800 pixels and conversion to WebP and JPEG.
- You still have to review the results. The AI provides a solid foundation, but the final approval remains with you.
Step-by-Step Guide
Step 1: Identify the Problem and the Task
Before you get started, be clear about which work can be automated. The example involves many training videos that each need their own thumbnail. The designers are often overloaded, so you have to wait days. This recurring effort is ideal for the AI, because the task can be described clearly and repeated many times.
Step 2: Formulate the Prompt
The prompt determines the result. In the tutorial, a short, direct instruction is enough: The AI should create a thumbnail for each video, like in the attached example. Add the exact resolution of 1200 × 800 pixels so that the output fits right away. An example image as an attachment shows the AI the desired design much better than any long description.
Step 3: Grant the AI Access to the Folder
Claude Cowork can only work with files it has access to. Therefore, add the folder with the training material at the bottom of the program. Make sure that all videos that need a thumbnail are in there and that the folder is not cluttered with unnecessary files.
Step 4: Select the Base Image in the File Manager
In the file manager, determine which existing thumbnail should serve as the template. In the example, an older thumbnail from a previous training is used because it shows the gradient and the rounded corners that are to be adopted later. So choose a template whose style you really want to repeat.
Step 5: Run the Prompt and Watch the Processing
Once the prompt is submitted, Claude Cowork first searches the folder. In the example, the AI analyzes 18 trainings and then adopts the soft gradient of the base image. The process is transparent, because you can see which steps the AI is currently carrying out. In the example, the creation takes only a few minutes.
Step 6: Correct Unwanted Elements
Not every result is perfect right away. In the example, additional text appeared that was not wanted. Instead of starting everything over, you formulate the correction clearly and distinctly in a new request, for example with the note that no text is wanted. Short, unambiguous adjustments usually lead quickly to the desired result.
Step 7: Check the Created Images
The AI saves the results in a new folder, named Forscherbilder in the example. Look at each image and compare it with your requirements. In the tutorial, it is noticeable that the AI makes better use of the space and positions the motifs cleanly. Whether each image fits the respective video perfectly, however, you should still check one by one.
Step 8: Check Resolution and Format
Open an image and check the dimensions. In the example, the images were correctly exported at 1200 × 800 pixels. Since PNG files are often too large for preview images, the next step is worthwhile.
Step 9: Convert the Images Directly to WebP and JPEG
Ask the AI to convert all images to WebP and save them in a separate subfolder. You can also request several formats at once, in the example WebP and JPEG. That way you don't have to launch Photoshop or bother with a separate conversion program.
Step 10: Understand the Commands That Were Executed
If you want to see the details of the processing, you can expand the view. There you can see that the AI starts Python and creates the required folders for WebP and JPEG. This look behind the scenes helps you gain confidence in the process and follow up in a targeted way if problems occur.
Step 11: Verify the Result of the Conversion
Finally, open the new folders and check whether all images are there. With WebP, the file size is significantly smaller than with PNG. Also make sure that the images still look good after the conversion and that the resolution is correct.
Step 12: Keep an Eye on the Division of Tasks
The real art lies in recognizing which tasks the AI can take over. For every recurring activity, ask yourself whether the effort can be delegated. If so, formulate a clear prompt and hand over the work. This way you go from being the one doing the work to being the conductor who distributes the tasks and approves the results.
Summary – Creating Preview Images from Video Files with Claude Cowork in a Single Prompt
With Claude Cowork, preview images for numerous videos can be created in a short time. You need a base image as a style template, a folder with the material, and a clearly formulated prompt. The AI analyzes the content, creates the images in the desired resolution, and then converts them into space-saving formats. Your task is to review the results and, if necessary, make targeted adjustments.
FAQ
What prerequisites do I need for this approach?You need access to Claude Cowork, a folder with the videos, and a base image that shows the desired style.
Why should I use a base image as a template?A base image shows the AI the gradient, design, and positioning much more precisely than a text description alone could.
What can I do if the result doesn't fit?Formulate a new, clear request with the specific correction, for example that no text should appear in the image.
Why is converting to WebP worthwhile?WebP files are significantly smaller than PNG files, which is an advantage for websites and video platforms.
