# Tips for converting THIN negatives

**URL:** <https://forums.negativelabpro.com/t/tips-for-converting-thin-negatives/9810>\
**Category:** Image Editing Help\
**Created:** [November 1, 2025, 9:23pm UTC](https://forums.negativelabpro.com/t/tips-for-converting-thin-negatives/9810 "2025-11-01T21:23:53Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![Digitizer](https://avatars.discourse-cdn.com/v4/letter/d/57b2e6/32.png) [@Digitizer](https://forums.negativelabpro.com/u/Digitizer)\
**Post date:** [November 1, 2025, 11:54pm UTC](https://forums.negativelabpro.com/t/tips-for-converting-thin-negatives/9810/2 "2025-11-01T23:54:33Z")

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@palebluedot , welcome to the forum

your image has not much to offer for conversion. Tried it manually in colour and B&W

 ![Screen @ 2025-11-02 um 00.35.41](https://canada1.discourse-cdn.com/flex029/uploads/negativelabpro/original/2X/5/5e302d698f6bb0e32bc56843acd2d27112e8530d.jpeg)

Even if we’d squeeze more detail out of the image, it would mostly be grain. Look at the histogram. wide U-shapes don’t convert well in many cases.

The one thing to try would be to scan with exposure set to high- and lowlights respectively and combine both into an HDR file. This could stretch the extremes in the histogram a little.

To convert, I’d crop both top and bottom heavily (like in the screen above)

In general, NLP can only work what it’s getting fed as described [here](https://forums.negativelabpro.com/t/what-to-expect-from-negative-lab-pro/9744). The less info there is, the more erratic conversions will be.

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