diff --git a/meshroom/nodes/aliceVision/SketchfabUpload.py b/meshroom/nodes/aliceVision/SketchfabUpload.py
new file mode 100644
index 00000000..e0444d2e
--- /dev/null
+++ b/meshroom/nodes/aliceVision/SketchfabUpload.py
@@ -0,0 +1,200 @@
+__version__ = "1.0"
+
+from meshroom.core import desc
+import glob
+import os
+import json
+import zipfile
+import requests
+import io
+
+
+class BufferReader(io.BytesIO): # object to call the callback while the file is being uploaded
+    def __init__(self, buf=b'',
+                 callback=None,
+                 cb_args=(),
+                 cb_kwargs={}):
+        self._callback = callback
+        self._cb_args = cb_args
+        self._cb_kwargs = cb_kwargs
+        self._progress = 0
+        self._len = len(buf)
+        io.BytesIO.__init__(self, buf)
+
+    def __len__(self):
+        return self._len
+
+    def read(self, n=-1):
+        chunk = io.BytesIO.read(self, n)
+        self._progress += int(len(chunk))
+        self._cb_kwargs.update({
+            'size'    : self._len,
+            'progress': self._progress
+        })
+        if self._callback:
+            try:
+                self._callback(*self._cb_args, **self._cb_kwargs)
+            except Exception as e: # catches exception from the callback
+                self._cb_kwargs['logManager'].logger.warning('Error at callback: {}'.format(e))
+        return chunk
+
+def progressUpdate(size=None, progress=None, logManager=None):
+    if not logManager.progressBar:
+        logManager.makeProgressBar(size, 'Upload progress:')
+
+    logManager.updateProgressBar(progress)
+
+class SketchfabUpload(desc.Node):
+    size = desc.DynamicNodeSize('inputFiles')
+    inputs = [
+        desc.ListAttribute(
+            elementDesc=desc.File(
+                name="input",
+                label="Input",
+                description="",
+                value="",
+                uid=[0],
+            ),
+            name="inputFiles",
+            label="Input Files",
+            description="Input Files to export.",
+            group="",
+        ),
+        desc.ChoiceParam(
+            name='maxSize',
+            label='Maximum Upload Size',
+            description='The maximum upload size in MB.',
+            value=50,
+            values=(50, 200, 500),
+            exclusive=True,
+            uid=[0],
+            advanced=True,
+        ),
+        desc.BoolParam(
+            name='limitSize',
+            label='Limit Upload Size',
+            description='Change maximum download size in advanced attributes.',
+            value=True,
+            uid=[0],
+        ),
+        desc.StringParam(
+            name='apiToken',
+            label='API Token',
+            description='Get your token from https://sketchfab.com/settings/password',
+            value='',
+            uid=[0],
+        ),
+        desc.StringParam(
+            name='title',
+            label='Title',
+            description='Title cannot be longer than 48 characters.',
+            value='',
+            uid=[0],
+        ),
+        desc.StringParam(
+            name='description',
+            label='Description',
+            description='Description cannot be longer than 1024 characters.',
+            value='',
+            uid=[0],
+        ),
+        desc.StringParam(
+            name='license',
+            label='License',
+            description='License label.',
+            value='CC Attribution',
+            uid=[0],
+        ),
+        desc.BoolParam(
+            name='isPublished',
+            label='Publish',
+            description='If the model is not published it will be saved as a draft.',
+            value=False,
+            uid=[0],
+        ),
+        desc.BoolParam(
+            name='isInspectable',
+            label='Inspectable',
+            description='Allow 2D view in model inspector.',
+            value=True,
+            uid=[0],
+        ),
+        desc.ChoiceParam(
+            name='verboseLevel',
+            label='Verbose Level',
+            description='''verbosity level (critical, error, warning, info, debug).''',
+            value='info',
+            values=['critical', 'error', 'warning', 'info', 'debug'],
+            exclusive=True,
+            uid=[],
+        ),
+    ]
+
+    def resolvedPaths(self, inputFiles):
+        paths = []
+        for inputFile in inputFiles:
+            for f in glob.glob(inputFile.value):
+                paths.append(f)
+        return paths
+    
+    def upload(self, apiToken, modelFile, data, chunk):
+        modelEndpoint = 'https://api.sketchfab.com/v3/models'
+        f = open(modelFile, 'rb')
+        file = {'modelFile': (os.path.basename(modelFile), f.read()), **data}
+        (files, contentType) = requests.packages.urllib3.filepost.encode_multipart_formdata(file)
+        headers = {'Authorization': 'Token {}'.format(apiToken), 'Content-Type': contentType}
+        body = BufferReader(files, progressUpdate, cb_kwargs={'logManager': chunk.logManager})
+        chunk.logger.info('Uploading...')
+        try:
+            r = requests.post(
+                modelEndpoint, **{'data': body, 'headers': headers})
+            f.close()
+            chunk.logManager.completeProgressBar()
+        except requests.exceptions.RequestException as e:
+            f.close()
+            chunk.logger.error(u'An error occured: {}'.format(e))
+            raise RuntimeError() 
+        if r.status_code != requests.codes.created:
+            chunk.logger.error(u'Upload failed with error: {}'.format(r.json()))
+            raise RuntimeError()
+
+    def processChunk(self, chunk):
+        chunk.logManager.waitUntilCleared()
+        chunk.logger.setLevel(chunk.logManager.textToLevel(chunk.node.verboseLevel.value))
+        
+        if not chunk.node.inputFiles:
+            chunk.logger.warning('Nothing to upload')
+            return
+        if len(chunk.node.title.value) > 48:
+            chunk.logger.error('Title cannot be longer than 48 characters.')
+            raise RuntimeError()
+        if len(chunk.node.description.value) > 1024:
+            chunk.logger.error('Description cannot be longer than 1024 characters.')
+            raise RuntimeError()
+        if chunk.node.apiToken.value == '':
+            chunk.logger.error('Need API token.')
+            raise RuntimeError()
+        data = {
+            'name': chunk.node.title.value,
+            'description': chunk.node.description.value,
+            'license': chunk.node.license.value,
+            'isPublished': chunk.node.isPublished.value,
+            'isInspectable': chunk.node.isInspectable.value
+        }
+        # pack files into .zip to reduce file size and simplify process
+        uploadFile = os.path.join(chunk.node.internalFolder, 'temp.zip')
+        files = self.resolvedPaths(chunk.node.inputFiles.value)
+        zf = zipfile.ZipFile(uploadFile, 'w')
+        for file in files:
+            zf.write(file, os.path.basename(file))
+        zf.close()
+        chunk.logger.info('Successfully created {}'.format(uploadFile))
+        
+        fileSize = os.path.getsize(uploadFile)/1000000
+        chunk.logger.info('File size: {}MB'.format(fileSize))
+        if chunk.node.limitSize.value and fileSize > chunk.node.maxSize.value:
+            chunk.logger.error('File too big.')
+            raise RuntimeError()
+        
+        self.upload(chunk.node.apiToken.value, uploadFile, data, chunk)
+        chunk.logger.info('Upload successful. Your model is being processed on Sketchfab. It may take some time to show up on your "models" page.')
diff --git a/requirements.txt b/requirements.txt
index 7daba766..9caca220 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,3 +3,4 @@ psutil>=5.6.3
 enum34;python_version<"3.4"
 PySide2==5.13.0
 markdown==2.6.11
+requests==2.22.0