AutomationFlowsAI & RAG › Ai-powered Loom Video Q&a with Gemini-2.5 and Slack Notifications

Ai-powered Loom Video Q&a with Gemini-2.5 and Slack Notifications

ByGiovanniSegar @giosegar on n8n.io

This workflow takes a Loom link, extracts the video ID, uses the Loom API to download the video, then sends it to Gemini along with your question. Finally, it sends the output to Slack.

Event trigger★★★★☆ complexity24 nodesHTTP RequestForm TriggerSlack
AI & RAG Trigger: Event Nodes: 24 Complexity: ★★★★☆ Added:

This workflow corresponds to n8n.io template #4472 — we link there as the canonical source.

This workflow follows the Form Trigger → HTTP Request recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "1b69f192-6e52-4484-8953-285441906bde",
      "name": "Extract Video ID",
      "type": "n8n-nodes-base.set",
      "position": [
        600,
        -420
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "videoId",
              "value": "={{ $json['Loom Video URL'].split('/').pop().split(\"?\")[0] }}"
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "96a1f9d1-41da-4f73-aef1-5fc61a2ecbde",
      "name": "Fetch Download URL",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        820,
        -425
      ],
      "parameters": {
        "url": "=https://www.loom.com/api/campaigns/sessions/{{ $json.videoId }}/transcoded-url",
        "method": "POST",
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "983e0686-6a65-495c-af5c-103001995271",
      "name": "Download Video Content",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1040,
        -420
      ],
      "parameters": {
        "url": "={{ $json.url }}",
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "9426bf71-eb18-419f-a693-a7b5832956a6",
      "name": "Loom URL Form",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        160,
        -420
      ],
      "parameters": {
        "options": {},
        "formTitle": "Loom Video Downloader to Gemini",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Loom Video URL",
              "placeholder": "https://www.loom.com/share/4ef793670bfd4b06a7c042b1b439d51a",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Enter a question about the video",
              "requiredField": true
            }
          ]
        },
        "formDescription": "Enter a public loom video url and the video will be downloaded and provided as input to Google Gemini"
      },
      "typeVersion": 2.2
    },
    {
      "id": "a7331691-acda-4191-add6-65ab1f61b1d5",
      "name": "Upload Video Data",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2360,
        -425
      ],
      "parameters": {
        "url": "={{ $json.uploadUrl }}",
        "method": "PUT",
        "options": {
          "response": {
            "response": {
              "responseFormat": "json"
            }
          }
        },
        "sendBody": true,
        "contentType": "binaryData",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Length",
              "value": "={{ $json.fileSizeInBytes }}"
            },
            {
              "name": "X-Goog-Upload-Offset",
              "value": "0"
            },
            {
              "name": "X-Goog-Upload-Command",
              "value": "upload, finalize"
            }
          ]
        },
        "inputDataFieldName": "data"
      },
      "typeVersion": 4.1
    },
    {
      "id": "c24fb0b7-d21f-4fe7-bed4-b0e2ecd0c2b2",
      "name": "Start Upload Session for Gemini",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1700,
        -500
      ],
      "parameters": {
        "url": "=https://generativelanguage.googleapis.com/upload/v1beta/files",
        "method": "POST",
        "options": {
          "response": {
            "response": {
              "fullResponse": true
            }
          }
        },
        "jsonBody": "={\n  \"file\": {\n    \"display_name\": \"{{ $json.displayName }}\"\n  }\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "X-Goog-Upload-Protocol",
              "value": "resumable"
            },
            {
              "name": "X-Goog-Upload-Command",
              "value": "start"
            },
            {
              "name": "X-Goog-Upload-Header-Content-Length",
              "value": "={{  $json.fileSizeInBytes }}"
            },
            {
              "name": "X-Goog-Upload-Header-Content-Type",
              "value": "={{ $json.mimeType }}"
            },
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpQueryAuth": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.1
    },
    {
      "id": "e92b0b3d-e309-44b3-a288-2fea8f50c695",
      "name": "Valid Loom URL?",
      "type": "n8n-nodes-base.if",
      "position": [
        380,
        -420
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "debf942c-92e7-43f0-9c9b-15d03aa6e507",
              "operator": {
                "type": "string",
                "operation": "startsWith"
              },
              "leftValue": "={{ $json['Loom Video URL'] }}",
              "rightValue": "https://www.loom.com/share/"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "3180c3a0-b5cc-4501-80ed-2ebce9463af2",
      "name": "Merge",
      "type": "n8n-nodes-base.merge",
      "position": [
        2140,
        -425
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3.1
    },
    {
      "id": "5c1a814e-041b-456d-89f2-22a1845d6693",
      "name": "Merge1",
      "type": "n8n-nodes-base.merge",
      "position": [
        1480,
        -420
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3.1
    },
    {
      "id": "51021cc5-971d-4287-be7f-d102ccb2505f",
      "name": "Extract File Details",
      "type": "n8n-nodes-base.set",
      "position": [
        2580,
        -420
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "geminiFileUri",
              "value": "={{ $json.file.uri }}"
            },
            {
              "name": "geminiFileName",
              "value": "={{ $json.file.name }}"
            },
            {
              "name": "geminiFileMimeType",
              "value": "={{ $json.file.mimeType }}"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "id": "a0b210dc-4d66-45eb-a1f6-526297049bea",
      "name": "Wait 5 Seconds",
      "type": "n8n-nodes-base.wait",
      "position": [
        3060,
        -400
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "e36643d5-5102-4ef9-99ce-3777d38d0f16",
      "name": "Loop Until Video Is Active",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        2800,
        -425
      ],
      "parameters": {
        "options": {
          "reset": false
        }
      },
      "typeVersion": 3
    },
    {
      "id": "6496a5f2-b52a-4f68-bfef-09788e36aac1",
      "name": "Get Video Status",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        3240,
        -400
      ],
      "parameters": {
        "url": "={{ $json.geminiFileUri }}",
        "options": {},
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth"
      },
      "credentials": {
        "httpQueryAuth": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "4a822835-719f-46aa-8f0e-1715af385f7a",
      "name": "Video Active?",
      "type": "n8n-nodes-base.if",
      "position": [
        3460,
        -400
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "0f9c3f19-3a7b-43c3-9e81-41cfcf649d00",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.state }}",
              "rightValue": "ACTIVE"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "9e78e6d5-435c-4c8a-8cd4-64f0c5e4ff7f",
      "name": "Ask Gemini to Summarize Video",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        3740,
        -460
      ],
      "parameters": {
        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro-preview-03-25:generateContent",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"contents\": [\n    {\n      \"parts\": [\n        {\n          \"file_data\": {\n            \"mime_type\": \"video/mp4\",\n            \"file_uri\": \"{{ $json.uri }}\"\n          }\n        },\n        {\n          \"text\": {{ JSON.stringify($('Loom URL Form').first().json['Enter a question about the video']) }}\n        }\n      ]\n    }\n  ]\n} ",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth"
      },
      "credentials": {
        "httpQueryAuth": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "77df9ffb-2a4d-46c9-a2a1-44eaf1f7a734",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        120,
        -640
      ],
      "parameters": {
        "color": 7,
        "width": 1080,
        "height": 420,
        "content": "## Download Loom Video\n\nEnter loom video url via form, then make requests to loom api to get url of video and then download."
      },
      "typeVersion": 1
    },
    {
      "id": "89545746-96c1-4896-95bf-c5bca17b1ef3",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1200,
        -640
      ],
      "parameters": {
        "color": 5,
        "width": 1300,
        "height": 420,
        "content": "## Upload Video to Gemini\n\nExtract data from video needed for upload to Gemini. Then start an authenticated upload session, get the url to upload to and upload the video."
      },
      "typeVersion": 1
    },
    {
      "id": "f35ceb48-2931-47b5-835a-bf3cfbec813b",
      "name": "Extract URL for Uploading",
      "type": "n8n-nodes-base.set",
      "position": [
        1920,
        -500
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "uploadUrl",
              "value": "={{ $json.headers['x-goog-upload-url'] }}"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "id": "02cff2c4-5f4f-4422-acc8-bb5e6a125365",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2500,
        -640
      ],
      "parameters": {
        "width": 1120,
        "height": 420,
        "content": "## Ensure Video Is Active Before Using with LLM Request\n\nUploaded videos start in \"PROCESSING\" state when first uploaded and need to be \"ACTIVE\" before they can be provided to a Gemini LLM request."
      },
      "typeVersion": 1
    },
    {
      "id": "9f457708-2b80-403e-8030-1dbdbc81bc54",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3620,
        -640
      ],
      "parameters": {
        "color": 4,
        "width": 580,
        "height": 420,
        "content": "## Send Request to Gemini LLM\n\nOnce video is active, send video to Gemini with prompt from the form"
      },
      "typeVersion": 1
    },
    {
      "id": "33800aac-7646-40ce-98b2-213f48f91ad8",
      "name": "Calculate File Size",
      "type": "n8n-nodes-base.code",
      "position": [
        1240,
        -520
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Get the input item (using $input.item for single item processing is fine)\nconst item = $input.item;\n\n// --- Define the Expected Binary Property Name ---\n// This is crucial. If the node feeding this Code node outputs binary data\n// under a different property name (e.g., 'file', 'binaryOutput'),\n// you MUST change this value accordingly.\nconst binaryPropertyName = 'data';\n\n// --- Check if any binary data exists and if the specific property is present ---\nif (!item.binary || !item.binary[binaryPropertyName]) {\n  const availableProperties = item.binary ? Object.keys(item.binary).join(', ') : 'none';\n  throw new Error(`Binary property '${binaryPropertyName}' not found on input item. Available binary properties: ${availableProperties}. Check the 'Property Name' setting in the preceding node if it handles binary data (e.g., HTTP Request, Read File).`);\n}\n\n// --- Access Binary Data and Calculate Size using Helpers ---\n// Use the n8n helper function to get the buffer\nconst buffer = await this.helpers.getBinaryDataBuffer(0, binaryPropertyName);\n\n// The length of the buffer *is* the size in bytes\nconst fileSizeInBytes = buffer.length;\n\n// --- Prepare Output JSON ---\nconst outputJson = {\n  fileSizeInBytes: fileSizeInBytes,\n};\n\nreturn outputJson;"
      },
      "typeVersion": 2
    },
    {
      "id": "e6fdc875-2fde-4da3-8330-11e72ba02d33",
      "name": "Set Video Attributes",
      "type": "n8n-nodes-base.set",
      "position": [
        1240,
        -360
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "185823b8-48f0-423b-a670-33a5215cf348",
              "name": "mimeType",
              "type": "string",
              "value": "={{ $binary.data.mimeType }}"
            },
            {
              "id": "94cce1af-7bcc-49ea-9968-c0b12c2fbc82",
              "name": "displayName",
              "type": "string",
              "value": "=loom_{{ $('Extract Video ID').item.json.videoId }}"
            }
          ]
        },
        "includeOtherFields": true
      },
      "typeVersion": 3.4
    },
    {
      "id": "3ae06fca-7edb-4949-a9e7-588256ffddd0",
      "name": "Slack",
      "type": "n8n-nodes-base.slack",
      "position": [
        4020,
        -460
      ],
      "parameters": {
        "text": "=Loom video response from Gemini: {{ $json.candidates[0].content.parts[0].text }}",
        "user": {
          "__rl": true,
          "mode": "username",
          "value": "@giosegar"
        },
        "select": "user",
        "otherOptions": {}
      },
      "credentials": {
        "slackApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "b564cf3b-1fd7-4b4d-9fda-1e5ba2842224",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -440,
        -640
      ],
      "parameters": {
        "width": 420,
        "height": 400,
        "content": "## How to use the workflow\nThis workflow takes a Loom link, extracts the video ID, uses the Loom API to download the video, then sends it to Gemini along with your question. Finally, it sends the output to Slack. \n\nTo use it, you just need to add your own [API key for Gemini](https://aistudio.google.com/app/apikey) and Slack connection. \n\nClick the link above to get your Gemini API key, then add a generic \"Query auth\" type credential in n8n. The name will be \"key\" and the value will be your API key.\n\nOne way to customize this workflow would be to make the trigger any received email, extract the Loom link, and run an auto-prompt like \"Describe this video in detail\". "
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "Merge": {
      "main": [
        [
          {
            "node": "Upload Video Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Merge1": {
      "main": [
        [
          {
            "node": "Start Upload Session for Gemini",
            "type": "main",
            "index": 0
          },
          {
            "node": "Merge",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Loom URL Form": {
      "main": [
        [
          {
            "node": "Valid Loom URL?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Video Active?": {
      "main": [
        [
          {
            "node": "Loop Until Video Is Active",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Wait 5 Seconds",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait 5 Seconds": {
      "main": [
        [
          {
            "node": "Get Video Status",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Valid Loom URL?": {
      "main": [
        [
          {
            "node": "Extract Video ID",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract Video ID": {
      "main": [
        [
          {
            "node": "Fetch Download URL",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Video Status": {
      "main": [
        [
          {
            "node": "Video Active?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Upload Video Data": {
      "main": [
        [
          {
            "node": "Extract File Details",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Download URL": {
      "main": [
        [
          {
            "node": "Download Video Content",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Calculate File Size": {
      "main": [
        [
          {
            "node": "Merge1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract File Details": {
      "main": [
        [
          {
            "node": "Loop Until Video Is Active",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set Video Attributes": {
      "main": [
        [
          {
            "node": "Merge1",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Download Video Content": {
      "main": [
        [
          {
            "node": "Calculate File Size",
            "type": "main",
            "index": 0
          },
          {
            "node": "Set Video Attributes",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract URL for Uploading": {
      "main": [
        [
          {
            "node": "Merge",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Loop Until Video Is Active": {
      "main": [
        [
          {
            "node": "Ask Gemini to Summarize Video",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Wait 5 Seconds",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Ask Gemini to Summarize Video": {
      "main": [
        [
          {
            "node": "Slack",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Start Upload Session for Gemini": {
      "main": [
        [
          {
            "node": "Extract URL for Uploading",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

This workflow takes a Loom link, extracts the video ID, uses the Loom API to download the video, then sends it to Gemini along with your question. Finally, it sends the output to Slack.

Source: https://n8n.io/workflows/4472/ — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

Legal, Procurement, and Compliance teams at mid-size companies. ESN and agencies selling AI-powered contract review as a service.

Form Trigger, HTTP Request, Form +4
AI & RAG

This workflow empowers marketing teams, agencies and solopreneurs to instantly generate on-brand, platform-optimized social media ads — without designers or complex setup. Running performance marketin

Form Trigger, HTTP Request, Slack +1
AI & RAG

This workflow is an AI-powered lighting and look development pipeline designed for VFX production. It transforms a single lighting brief into multiple high-quality cinematic lighting references using

Form Trigger, HTTP Request, Google Drive +4
AI & RAG

Some use cases: "Speed-to-Lead" optimization, lead enrichment, automated prospect research. Ingestion: A lead submits their details (Name, Email, Website) via a form. Intelligent scraping: The workflo

Form Trigger, OpenAI, Airtable +2
AI & RAG

This workflow automates the "speed-to-lead" process for insurance agencies. It instantly triggers an AI voice call when a new lead comes in, qualifies their needs via conversation, and automatically g

Form Trigger, Airtable, HTTP Request +3