{ "name": "MacWhisper Transcript Processor", "nodes": [ { "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", "name": "Webhook", "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ 250, 300 ], "parameters": { "path": "transcript-processor", "httpMethod": "POST", "responseMode": "lastNode", "options": {} } }, { "id": "b2c3d4e5-f6a7-8901-bcde-f12345678901", "name": "Fragment Selection", "type": "@n8n/n8n-nodes-langchain.googleGemini", "typeVersion": 1, "position": [ 550, 300 ], "parameters": { "model": { "__rl": true, "value": "gemini-2.0-flash-exp", "mode": "list", "cachedResultName": "gemini-2.0-flash-exp" }, "options": { "systemMessage": "You are an expert content analyzer. Your task is to analyze podcast/stream transcripts and identify the 3-5 most engaging, emotional, or impactful fragments.\n\nFor each fragment, provide:\n- Start timecode in [HH:MM] format\n- End timecode in [HH:MM] format\n- Brief reason why this fragment is engaging\n\nFormat your response EXACTLY as:\n[HH:MM] -- [HH:MM]: Brief description of why this fragment is engaging\n\nSeparate each fragment with a blank line. Focus on moments with high emotional impact, insights, humor, or controversy." }, "prompt": "=Analyze this transcript and identify the 3-5 most engaging fragments:\n\nTitle: {{ $json.body.title }}\n\nTranscript:\n{{ $json.body.transcript }}" } }, { "id": "c3d4e5f6-a7b8-9012-cdef-123456789012", "name": "Get Fragment Text", "type": "@n8n/n8n-nodes-langchain.googleGemini", "typeVersion": 1, "position": [ 850, 300 ], "parameters": { "model": { "__rl": true, "value": "gemini-2.0-flash-exp", "mode": "list", "cachedResultName": "gemini-2.0-flash-exp" }, "options": { "systemMessage": "You are a precise transcript extractor. Your task is to extract the EXACT verbatim text for each fragment based on the provided timecodes.\n\nFor each fragment, output:\n[START_TIME] -- [END_TIME]\nEXACT VERBATIM TEXT FROM TRANSCRIPT\n---\n\nSeparate each fragment with '---' on its own line. Preserve all speaker names, pauses, and exact wording from the original transcript." }, "prompt": "=Extract the exact verbatim text for these fragments from the transcript:\n\nFragments to extract:\n{{ $('Fragment Selection').item.json.message.content }}\n\nFull transcript:\n{{ $('Webhook').item.json.body.transcript }}\n\nProvide the exact text for each fragment, separated by '---'" } }, { "id": "d4e5f6a7-b8c9-0123-def1-234567890123", "name": "Split Fragments", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1150, 300 ], "parameters": { "mode": "runOnceForAllItems", "jsCode": "const fragmentText = $input.item.json.message.content;\n\n// Split by --- delimiter\nconst fragments = fragmentText.split('---').filter(f => f.trim());\n\n// Parse each fragment\nconst parsedFragments = fragments.map((fragment, index) => {\n const trimmed = fragment.trim();\n \n // Extract timecodes using regex [HH:MM] -- [HH:MM]\n const timecodeMatch = trimmed.match(/\\[(\\d{2}:\\d{2})\\]\\s*--\\s*\\[(\\d{2}:\\d{2})\\]/);\n \n if (!timecodeMatch) {\n return null;\n }\n \n const start = timecodeMatch[1];\n const end = timecodeMatch[2];\n \n // Extract content (everything after the timecode line)\n const contentStart = trimmed.indexOf('\\n', timecodeMatch.index);\n const content = contentStart !== -1 ? trimmed.substring(contentStart + 1).trim() : '';\n \n return {\n json: {\n fragmentIndex: index + 1,\n start: start,\n end: end,\n content: content,\n timecodeRange: `${start} -- ${end}`\n }\n };\n}).filter(f => f !== null);\n\nreturn parsedFragments;" } }, { "id": "e5f6a7b8-c9d0-1234-ef12-345678901234", "name": "Create Subtitles", "type": "@n8n/n8n-nodes-langchain.googleGemini", "typeVersion": 1, "position": [ 1450, 200 ], "parameters": { "model": { "__rl": true, "value": "gemini-2.0-flash-exp", "mode": "list", "cachedResultName": "gemini-2.0-flash-exp" }, "options": { "systemMessage": "You are an expert subtitle creator. Convert the provided text into SRT subtitle format.\n\nRules:\n- Use ~140 words per minute timing\n- Each subtitle should be 1-2 lines maximum\n- Start from 00:00:00,000\n- Use proper SRT format:\n1\n00:00:00,000 --> 00:00:03,000\nFirst subtitle text\n\n2\n00:00:03,000 --> 00:00:06,000\nSecond subtitle text\n\nProvide ONLY the SRT content, nothing else." }, "prompt": "=Convert this text into SRT subtitle format at ~140 words per minute:\n\n{{ $json.content }}" } }, { "id": "f6a7b8c9-d0e1-2345-f123-456789012345", "name": "Convert to SRT", "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 1750, 200 ], "parameters": { "mode": "jsonToText", "options": { "fileName": "=fragment_{{ $json.fragmentIndex }}.srt", "mimeType": "text/plain" }, "jsonToText": { "inputDataFieldName": "={{ $('Create Subtitles').item.json.message.content }}" } } }, { "id": "a7b8c9d0-e1f2-3456-1234-567890123456", "name": "Edit Fields", "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1450, 400 ], "parameters": { "mode": "manual", "assignments": { "assignments": [ { "id": "b8c9d0e1-f2a3-4567-2345-678901234567", "name": "formattedText", "value": "=Fragment {{ $json.fragmentIndex }}\nTimecode: {{ $json.timecodeRange }}\n\n{{ $json.content }}", "type": "string" } ] }, "options": {} } }, { "id": "b8c9d0e1-f2a3-4567-2345-678901234567", "name": "Convert to TXT", "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 1750, 400 ], "parameters": { "mode": "jsonToText", "options": { "fileName": "=timecodes_{{ $json.fragmentIndex }}.txt", "mimeType": "text/plain" }, "jsonToText": { "inputDataFieldName": "={{ $json.formattedText }}" } } }, { "id": "c9d0e1f2-a3b4-5678-3456-789012345678", "name": "Gmail", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 2050, 200 ], "parameters": { "operation": "send", "sendTo": "={{ $('Webhook').item.json.body.email || 'user@example.com' }}", "subject": "=Fragments - {{ $('Webhook').item.json.body.title }}", "message": "=Please find attached the SRT subtitle file for fragment {{ $json.fragmentIndex }}.\n\nTimecode: {{ $('Split Fragments').item.json.timecodeRange }}\n\nThis fragment was selected as one of the most engaging moments from the transcript.", "options": { "attachmentsUi": { "attachmentsBinary": [ { "property": "data" } ] } } }, "credentials": { "gmailOAuth2": { "name": "" } } } ], "connections": { "Webhook": { "main": [ [ { "node": "Fragment Selection", "type": "main", "index": 0 } ] ] }, "Fragment Selection": { "main": [ [ { "node": "Get Fragment Text", "type": "main", "index": 0 } ] ] }, "Get Fragment Text": { "main": [ [ { "node": "Split Fragments", "type": "main", "index": 0 } ] ] }, "Split Fragments": { "main": [ [ { "node": "Create Subtitles", "type": "main", "index": 0 }, { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Create Subtitles": { "main": [ [ { "node": "Convert to SRT", "type": "main", "index": 0 } ] ] }, "Convert to SRT": { "main": [ [ { "node": "Gmail", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Convert to TXT", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" } }