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SVG upload failed with no error message

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I’m attempting to upload a SVG file created by matplotlib. The file checks as valid at various SVG validators. There is no error message, just upload failed. How do I figure out what is happening?

Leianne CAnswer

Lucid support team

Hi @ap00p040gi451gyu, thanks for your post! Unfortunately, this isn’t currently supported in Lucid, but we’re very interested in your feedback and committed to continually improving our products. Please first search the Product Feedback section of this community (with the filter Topic Type = Idea) to see if it’s already been submitted. If so, please add any additional details you’d like and upvote the request - this consolidation helps to refine feedback and properly capture the popularity of the request.

If no one has submitted this idea yet, please create one of your own and be sure to include details about your use case or what you’d like to see in this experience. This will also allow other users with similar requests to discover and upvote it, then add details of their own.

Finally, for more information on how Lucid manages feedback via this community, take a look at this post:

Humas1985

Lucid Legend Level 10

Hi @cryptoref

Please refer to this post for guidance, and feel free to follow the instructions if you're attempting to use Lucidspark.

SVG scaling | Community (lucid.co)

There are chances your use case may also related to the below given situation

SVG import fill-rule="evenodd" | Community (lucid.co)

Altogether you can also give a try with the first help article and keep us posted, accordingly.

We also look forward to hearing from other community members and associates, who may have alternative suggestions that could better address your requirements.

Hope this helps - Happy to help further!!
Thank you very much and have a great one!
Warm regards

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Huma || Lucid Legend

Leianne C

Lucid support team

Hi @cryptoref, thank you for posting in the community and @Humas1985 for sharing some posts to help with troubleshooting.

There are a couple of issues that we consistently come up against with SVGs. Do you mind reading through and seeing if any of these could be the cause of what you are experiencing?

Please try the SVG import in a Chrome Incognito browsing session. This often improves performance by clearing your cache and cookies and disabling your extensions.
Our SVG import can only upload a file size of 150 KB or smaller. If you are attempting to upload a larger SVG, I would recommend downloading a smaller copy of that image and it should upload successfully.

Please let me know if you see any improvements after trying the steps above, or if you have any questions!

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cryptorefAuthor

OK so the problem is that the SVG is just too big, and this was only my test case, others will be much larger.

But I’ve found that I was going the wrong way. What I want to do is create a CSV file and then make a heat map from that data.

Thanks everyone for pointing me in the right direction.

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Leianne C

Lucid support team

Thank you for the update, @cryptoref! I’m glad to hear the information was helpful. Please feel free to let us know if you have any questions - we’re happy to help!

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ap00p040gi451gyu

So, my 2M SVG isn’t going to upload ever. Perhaps loosen or expand this limitation, please?

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Leianne CAnswer

Lucid support team

Hi @ap00p040gi451gyu, thanks for your post! Unfortunately, this isn’t currently supported in Lucid, but we’re very interested in your feedback and committed to continually improving our products. Please first search the Product Feedback section of this community (with the filter Topic Type = Idea) to see if it’s already been submitted. If so, please add any additional details you’d like and upvote the request - this consolidation helps to refine feedback and properly capture the popularity of the request.

If no one has submitted this idea yet, please create one of your own and be sure to include details about your use case or what you’d like to see in this experience. This will also allow other users with similar requests to discover and upvote it, then add details of their own.

Finally, for more information on how Lucid manages feedback via this community, take a look at this post:

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