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BrianS
Super User
Super User

Base64 Images

I am trying to set up a flow to grab a series of base64 images and save them to a SharePoint Library. I thought I had done this before, but could not locate the flow. I am getting an error:

Unable to process template language expressions in action 'Compose' inputs at line '0' and column '0': 'The template language function 'base64ToBinary' was invoked with a parameter that is not valid. The value cannot be decoded from base64 representation.'.

I assumed that I had the syntax wrong and tried several iterations with quotes and double quotes and no quotes, all received the same error. I then tried creating a new base64 image to make sure that it was not the data, and I received the same error.

I have attached a copy of the flow - any ideas what I'm doing wrong?

I originally was grabbing a field from a SP list, then added the manual trigger and text field to test with the new image

1 ACCEPTED SOLUTION

Accepted Solutions

Hello @BrianS ,

I've checked an the code is malformed. Here the Repaired Base64:

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QwtgbH8l+3zua2CRArNelwlmw/6g+SOuDEZUk0oU2RLUZan9igMgdlvcXky0c12/2/5Nv+s5Os3JsGoPY7ui6ZBza3T6vTGTlPwpE409T7T7CVKQbp6pWkkp8dDC665S4/b/AN6OQ7NozPvZYOebaZyPRqajpREjXBGknArLcZtOnSqQW3Jc1LiZ8D0LQgpa9vR+5vu+gWpchpqeKO2+hQ7urtsOaLjVO6qs4tFJRNZUlSHGozDa30kZl6ZaGSkKUQCy+7Hudytf+ZL4wpii+6ri3HmLjapN6Xbb22zWaxW5DJOSI0ScZLXFaiIcJBqbJK9wjPUy6dAwHZXcZnXtjrFMvKbl28Mx4rj1Br4x7NvqcdanJp8hTbL0ynVB5O+25HIiWloj21elqXEzATj75qDAsS4cK93tlulFkRKzTrNybIiGSG6za1wHtxXZCOBvKhyDbU1x10Xx1JCSIMOzLhOt95nZajr6ij1y7VF/6VAe+oAyX3TVBVN75cMvpPpNWJ623r82rMn/AGAGB++ivrk9smSYhr1KQzTCMvmVSIr+wAlP8pa+qLgjDUpJ6KjZhsl1J80HJV/YAa2L/vzMWFahlDNGD8rSMeVi7KbTl31Szo1LqzNUVRG3GYaiVUWHtlSG3lJ1Sk+fk0Daj3iZnynjXs9t/JWPbt+DOQas9aLDtzeoQZuh1ZxhEpXqsth2OfVuHw6C0+t0Aa9IEvuDzPV7IRnTuClZHtOy7jhXXTbSYtijURtyqU8nCiOPSIDaFrQg3DPoVqk+RkRkGzy1pDkmIg3NT1SWuoDs1m3maikyW2SteQCPN92BEZYedJhOuhn4APQ+S5aJixO5RguBNZ2uNBF7WBTCAQr7PbXZrGPmn3GyWaq/Xy1MvNVpRAJg3PZcWBTlrJlJGSfNyAfl2Vl0/J/ZUT9jIyWX0HZoCH+IKwcLtZt9slaa2IafowlEA2CYQr2PrR+TjxPe2UaGm5LKsOw6Vc1SoxsJkm89SHUzIfQyvRKlpktNqR1H0koiM+BANalzZv7oM21JGSa1mu58PPLUc2xMc2NPVCpVMYUpLkZuqEktamsySk3d8uk9VElKUKNsg2jYZum0O8vs2t24+4a24dcjw3HHcj00kLRHcqVoVBSnJKEMdKiQ96oTi20cDStbWhoMyMNamQO5PM/crOcrdsZDuft/wrT3DbxZaNjTPeWryYbSNlubVZsVRqMl6GaYyDJtCektOpO4sNiHZBlKv9yeEMo44zipm9axZVbqFjXRVpDTRJrtHmREOR3pLKEJQTi2X1NrIk8eklamaj0COPaNdcui4mcsKqTlzpWKLhrtlJmunqp1ijVB5iOZ+T0WehPDhw4AMldn6aHV2s9992RpBS4LTtbo+N5Txkpuj2XapOFLeikvQm3Jr7LqnTJX1haGXWsgGt66O7TI+eKhMve7e6is4ep9TfeftPGdh3PHt9ukQVGSWGZrzKiflvGhJLcN0+CjV0khOiEhsU7Au5et50m5Y7e8tXXS8yfB+ktVa37xUUR9dWoM9ZxZkKpNRk7K1xnFoR1aarS56RcCMw8DtnQvFd3Zz7bVzXpVOwnerrFmJkOKccZtuuMpqdKjqW4alqNpDq09Rmevk0LgAnIyvcQSi8oD9QAAAAAAAcVHokzAQ37vcgVC0MU3E3bzapd3XVtWxZVPbVo7Iq1ZcKHGQ0epekk3DWWpl7HxASgqnazId7N4fajZt5tY93LTh21VLvTTU1PVK1Icq6yik/CSpU5RvEpXWWm4pWmoCEDfyU+VGqY3R2+8lBUxuMUNEP4uKeaSYSjbJvjVtdOnh4gNgOGu21OPO2aN20X5ePxpUNqjVS3JFdcpxU1TtKqSniTHOOcmYRbDb22hW54JTwLQBrP7fK1WqRYldxPdzzjl5YPrlQsSvrfSba3k0t00Q5CUKMz23YxtmhWpkoi1IzLiAkl8m4fVUu7Q/Pk5s/8A5XHAa/u3y001q37kkqR1a3hcpa/MqsggGRKVb50Puu7SCYSaX3b4lEWnjtFTJO787p8QEge/ad7390/bLIZPpeRaV3+sGnge2pcMkdR+UurXTmAur5N+QxPvfvAqLxkdak3fb7cs+HV6m1SNIevl04r08nmAQtxHbCq/fPcO5LT1VIsy3qmrkfsik++KjX1F4kehl4gPR7j7IiUjEORZT6ehtq3aipKv2wo69v8A9fQBLDvAXVT+Stonv8km7qdtDGJSUJ10KpHOopvEnUzVwMl+XXmAjPYU1czvN7P1KUZ9NYuf9GgyAEhe8XVPexhRR8CXi6tJSrzmVUaMyL5wCNXewoz7dr9LXUtqn/zjFATY+U0T14BxAj7PLtlp+iUkgGvPuIoZMYVv+TpxRRnj1+gAnp34o3Ow6xEfZ1HHifoyIhALWxlYrfRHd2+PA9QEu6NTihMoQRaaEQD3wGJsiF/AX/an9IBjv5MT/qd3O/6+rm/kNMARf7GSL4s2OH/1BcP88SwEycg8KU57QwGN+y3/AHf+Vv75yZ99mgII40Uf5sVvlrw+BP8AyNQCbMn/AHPCf9TjX9yAi5adnpdtChyDRqaqbFVr81lJgJgdhqNvsYyUj7CsZDT9B2QQCAHb3axT8M2FKNOu5R2VfTAT4+TIj+qS+6yMRabOQYSdP8lMgIYYtrMqns5+biLUmQWUb4VH0PT9U98HenT54DYB2i16wrM+TRs26rrt1N14/t+wrhq97201DjzffCKxKqD9VYOLKU2w8bhk6SkuqJKuPUenEBFCN3d/J2zY7EuH8ntXpcWS2l2NJZxNaTjbjayJSVoUmYZKJRHqRl4gL3snv07NMbVZ+t447Jsh2DXZcVcCVV7bxtbtKluxXHG3Vx1vQ6g0tTaltIUaDPQzSk9NSIBauH7sn5P7hu4PPzVrVeybby7Nttq2LcuBttiqoj2/Sk09T8phpx1LRvKI1EnrMy85loZhsapazXFbM/MA9IAAAAAAAHSnPEywtRnpoQCFdLo3x497eMrPeQmXZ+AaY7ku62jRuNLrTi/U6Cyvq4JcacUqSjgZ6J8niAwJ8oVVKdnvufh4qmNnVrKwRbbZ1eE28+2lVxXEaJKkqWy4jXbhtM6acSM1EfmARPLtYxbt9fwMV4ePr9Q/wkBJHsWl0ztz7rKBaVLjqpVjZ7osm3pcNS3XkN16l9U6nOm48payNxs3mUlrpqvwAZ57rrdPEHeBTrvisnGtfuXtnYnuI1S0Vz2ukkmpep9BKeguNknTQ1KSrx4mAyd8mtKaQvuymPLJtlvJDbrrh+CUppUczM/mEQDFt7YSyR25XTXr7wxZ1Sz1245GlOXJCoFp9FRuC3pdSUch71GOS9ahCfNXW3tq6k9XHwNTgX52v4aybk7PVH7jMn49quK7IxrSpkTFFl3OyUauzapVm9mVU5cNLqjipaj6tJbcLqNStS8AEas25CiZ77t75vO25Z1OxcTUZrHlrVJB9UaXPbkLl1eTHMvRUSXlEz1kei0pIy9HQBcvabkil4K7sK1S7rkt0m0+5alU2kxa5IVtst3RQ1OIp0VxZ+iXrLEhxDZqMtXOlJa6gMwZqwzlTA2cMhZixpjKq5dxLlyQivXha9rJaer9Er6GuiXIjU9RtnLamEgnDJBmvcMyPT0esMYvWBmvvIqFKx+WFLywfht6osLyjemQoJUWpyIERbT7lOplMU4b6lyT0ST5HtpIlanqXSAvf5QvJtIvG6sW9qVkvNyWrZqcK8sttRSNTFPgUxB+9NMeURGklyHVE50dRKSlCFH6KgEWp1wwcW5h7c8uV531S27FviOxc9QUZJTEp9aZcpz0pxSjJJNtG6lSzM/Dw4gNhHfTiLI9YujD3cHiq15OQ5OMo9WpN6WPSuldTn0arJZWiRTkKUROuR3WjM2k6qWSi6fYmAi/b+HckdzVRh1nM9lVjt87V7GUmu341fCE0euXIVPWt31J2ItZqhQkGyS33HTSak6G0Z+yQElflJ58Gq4BwrU6W4T1MqWXbIlU50iNJLYeKQtpXSoiMtUmR6GQCHPcBSn6vhHIcGKg1yHLfmrZbIuKlNNG6SS5n06AJoZzte4e5D5PixZeKKf8Ja+9QLKuyiW+0skuTDpiokiVDQZ8N1KEOJJJmWq09ICPNndwN5WnJsl++e27IeOLAuu44FnIvW7ojNIfZrVT6ihte9TyzkrZWpJkbxein5vABsLjvodSRoMtDAdoBibIn4C/7U/pAMd/Jif9Tu53/X1c38hpgCMHYx/4Zx/+8Fw/zxLATIyD/wA1Oe0MBjfst/3f+Vv75yZ99mgIH40/2Y7f/wC5P/I1AJtyf9zwn/U41/cgMd2Wyj4A276JanSYnH/iEAMzdivDsfyiXmrmRfv0gBE7tfaQeBMcKMiMzojP90Alr8m8RJrnduReBZFhfzUyAgZjFpa6hnDp/rXvL+c3AExfk8rstmfYeWuy++FR2p1uyKzJtqkOKJCqtZ1zKdceUyhfUSzYekOod0LRPWjh4gIaXH28dwvbfIcsqq4Zu7MVmUmQcOy7/wAf0/36dmU/01RimU5le/GcbQjoWai6NdCSo9UmoPWtTD3dZk1+C1YPbjV7KizXFJcurKK0W9FhJQaiNcinEtdQWRqToRNNmfEladPEBnrtkqVWuFm7adclPhU66cd3dWLLulqmuuPQlz6M/suuRluoQs21akaeotfP5gGwWnt7cdCeQDvgAAAAAAAtq43FJhudPj0mA1oXlTs0Y+yfe+Q8FZjkYuq2RI9MjXpHXQKXXmpfvQh1qIpv3xbWbPSh09SR4nxPXhoH44lxZV11S4rguuvTLzvK9aq7Wbvuue2207MmOklGpNNElDaEpSRJQktE+ThwAS7RiyKcDX1curp8wCJWaMQSKh71SqRUZFt3Fa9XhXBaVyQ0IW/T6pTnSejSEIcI0q6FFxSfAwGOq+93C5TrFoyM6ZvkZNpdiVJVYtqitW3R6GhqeplccnnHaeyhxwiQ4eiTPTXiA6EE8940qF7rwxmeVjahZGkonXjQfeCl1cpEomCiqdZfnNLcYNTSdD6D8ePm0D9MPZI7nu2uhxrZw7kGmXNZ0Yk+q2FkSI/OgxV9Gji4kqE4zKZSpXp7SVE2R8SLieoXpe2fu8rONKk2je99Wxja1Km36tXKdjODMjyqhGWSkusrn1N6Q+wlxKtFbRlqXDw11DI2KMUU+36HT6NR6aiBTKe0TcWM2XAi8TMz8TNRmZmZ8TPiYDysx4fpV1UKfQ67TEzqbMT6bZlopCi9i42rxStJ8SMgFq2f3D96eH6axbts5ItvKNDpxbNJi5Mp0mRMjsJIkobXUqa8xIkGgi1JTpmoz8umhEHpXD3Vd82Q6e9RJ96WHiqLJSbT9TsCkTXqgtB+yJD9YkSCZUfh1tl1F4pMj4gOhh7DcG3W5ioiJU6o1mW5ULguCouqlVGozHlGtyRLkr9N1alKMzM/KZn4mYDJ2R8Ywqzb86kVWnon02oR1MTIjidUrQouJecj8pGXEj4lxAYisXOfeDgCkx7Lx7e1s5EsymIOPQKLkuFNkyKZHIy22GZ9OeYfdQ2kulBOmZJL0U8CIiCycw313I9zNMVQs3X/AAKTZhl1rxvYEZ+nUuQ+RH0OzJEpx6VJJtWiktuLNBKSStNSAd6JB7gcnRLCs7Lec5l9Y5x9VKZVres9Nv0qmH6zR0G1AN6dFbTIdJtJ+l1qPr8VceICXFUt5x+iqQtrrSpvRSTLUjIy4kZAIwWFfvcn2toqFtYKue3qljyRNem07Gd9Q5UqnUt2Spa3/UJMF1mS22txfXtdXT1cfFSzUF41W/8AuN7lqzYrOdq3ZlFs6xbjgXVAs6xKdNaTOqlNNZxHJUupPvPJS2pZmaEeiry+cBsctSU5JjNKWZmZkQC9wGML9jqehPkktdUn9IBrVjRe4PEtfvVjBedJeMrav2uvXFcduqt2kVhKqnJabZfkMvzmVONGtLSdSSfiWoCRfbNj9jHtpUm2Ysl+cmGp56TUJOm7IkSnlyJDqiSREXU44oyIvAtC8gCQt+RVu0xxKS1PoP6QDWuzRu4exaNdeL8Y59l2ZiW65dVfm2SdtUeoONprSlnPbaqMhv1lCV7iunpURo8h68QGT7ex/EodgU+zorLi6RTqWiltocPVa2ENbR9ZlpxUXifnAYbK2u4Z/HjPb9I7hKg5gZEVuj/AJNuUduUdJbdJwoZ1dDRSj8NDXrxLgZdPABMSmUM4tAZisM7TMdhLTLSS4JQhOiSLkREAipGpXcRYMC7Md4sz7LsXFl31Cpzp9llbdJqK2lVkz9eQxUJTapDaV9R9JJUXR4lx4gJE40siNaFj0O2KWhwqfQoDMKIbnFakMoJPUsyIiNStNTMi8TAYRfh57xbeV6VrA+apOLIuQZMaddtGVb9LrrEibFZ9XRIb98W1myamyIlEj2R8T8mgXpiHGEi3belxpdSkV+r1ioTazcVdktttOzajUXlSJL6m2kpQjqWo9EkXAtC4gLGyjiqRIq9Fumi1Oo2jetpyDl2ne1GdONUYD2hke24n2SFEei0K9FRakfiAuqj94PfhacVuktV3FuRm2EEhNfu6j1GFUFEjXQ3EUaSwwpRkZan0l4fN1D8qv3Kd8eSG/e6p5Rs/FEKS4RTPi/obj0lTRINBttSqy5JW11mfUakaKIyLpVpqQDO3btY9OsKgt0amvTpypMt+o1esVOQuVOnz5izcky5T6+K3XVnqowE04v6yn5hAOyAAAAAAADy6lFKS0pBlrqQDClcx41UJJuKa11PzALhtiyWKUaTJoi05AMolHSTO30lppoAxpdFmsVUlatEevIBjdOKWCcNWyX0AHXmYljukf6h+gAtWVhpsz9Fn9AB3qLiBph9KlM66H5gGfrftKPT2EpJsi0LzAPyuKz49RaUk2iPUvMAwHWcPtvOqUlnTU/MA61Lw6ht5KlNa6H5gGdLaseNTW0ltEWnIB7NctSPOjqbNsj1LzAMA1vELUh9a0s+J+YB0IuGmi8Wf0AF70PFzEF1CyZItDLyAMoOWmyuHs7Rex08AGFbjxO1MeWsmvE/MA/S2sXJgPIXt6aH5gEjaJTihMIRppoQC4gHhVenpmtLQZa6kAwrUsbMSpRumyR6nr4AL9tm1m6WhCUo6dAFx1ikpmx1NmnXUtAGG5WNGHpRum0XE9fAB7zdhMlF2totNNPABbycZMFJJ3a8D18AF+tWk0iJtdHDp0AWLKxoy9KN02i4nr4AL1p9oNR4pNEjTQvMAtCq43YlyTcNoj4+YBdVBstiC0SNsi8/AB0LlsGNUG1fqJGZ8gGEahhtK3VGhrTj5CAd2j4fSy8lSmvA/HQBIC2LVapTaCSjTQBkhtPSkiAcwAAAAAAAUMiPxAcDabPxTqAqTaU+BAOYDgaEq8SAcdlv7EgA2Gj8UEA/I4bCvFBfQAVTEYT7FBF84B+5JJPgQAaUn4kA66ojC/ZII/nAKJhMJ9igiAdlKEp8CADSR+JAPwVEZXxUgj+cAoURhPggvoAP1JlsvBJEA59CdNNAH4Kisr9kgjAExWUexQRAOwSSLwIBUBQyI/EgHA2mz8UgORISnwIBU0kfiQD89lv7EgHLbR5gHHZb8ekBy6E+GgDjst/YkA5EhJeQBQ2mz8U6gKkhKfAgBTaVeJAOuqDHVxNBH84BVMNhHsUEXzgHYJCU+BAOQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP/9k=

 

Please use the following link to check the base64 validity:

https://base64.guru/tools/validator

 

After repairing the code, the flow is working fine.

 

If I have answered your question, please mark your post as Solved.
If you like my response, please give it a Thumbs Up.

BR,

Marco

View solution in original post

6 REPLIES 6
MarconettiMarco
Super User
Super User

Helo @BrianS ,

I've performed the following test:

1. Add a "File" input in the Manual Trigger:

MarconettiMarco_0-1659970852195.png

2. Create a SharePoint file, by adding the following expressions:

- File name: 

triggerBody()['file']['name']

- File Content:

base64ToBinary(triggerBody()['file']['contentBytes'])

MarconettiMarco_1-1659970880256.png

 

Please let me know.

 

If I have answered your question, please mark your post as Solved.
If you like my response, please give it a Thumbs Up.

BR,

Marco

 

That doesn't work - I do not have a file - that's part of the problem. I guess I did not elaborate well enough. I have a text field in a SP list that contains the base64 text for the images. I need to pull all those out and create "regular" image files in a different SP library. That is why I started with a text input.

Ok @BrianS ,

so the expression is right.

Could you please share the base64 string?

 

BR,

Marco

BrianS
Super User
Super User

This is one of them:

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

Hello @BrianS ,

I've checked an the code is malformed. Here the Repaired Base64:

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

 

Please use the following link to check the base64 validity:

https://base64.guru/tools/validator

 

After repairing the code, the flow is working fine.

 

If I have answered your question, please mark your post as Solved.
If you like my response, please give it a Thumbs Up.

BR,

Marco

BrianS
Super User
Super User

That does appear to fix the issue. Interesting that the images show correctly in PowerApps with the "data:image/jpeg;base64" header.

Thanks

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