Local/Web AI-Driven Content Extraction & Publishing Pipeline

@a4logic

Hello, As a seasoned digital service provider, we at Our Software have been expanding web data and transforming it into strategically-aligned marketing copy for years. Our expertise includes content extraction, utilization of local AI-powered tools, like Minimax, and proficient use of FFmpeg and OpenAI Whisper or similar resources. We have successfully dealt with large databases such as the 500GB video library you mentioned. Our familiarity with macOS environment, particularly MacBook Air, will enable us to seamlessly build the localized, automated pipeline you require. We propose a well-structured workflow that intertwines all necessary components: a robust database setup for tracking of video inventory, an AI-powered slicing mechanism to extract relevant content pieces, an automated media rendering system that cuts and crops files into a 9:16 format - a strength honed through our extensive use of FFmpeg throughout our projects -, and an efficient copywriting engine like Minimax that generates platform-adapted captions, hashtags, and SEO titles among other skills specific to your project. Moreover, we have extensive experiences orchestrating Max Hermes with n8n in cloud API routing and webhooks management - skills which make up the crux of your publishing pipeline. We assure you that our team is dedicated to delivering excellence in both local processing (FFmpeg/Hermes) and cloud orchestration (n8n/APIs). Engaging us means access Thanks!

@sabaehsan

Greetings, I see you're looking to build a local, automated pipeline for processing a substantial video library into optimized short-form content and managing its publication across social media platforms. My approach would involve setting up a robust system using Max Hermes for orchestration and n8n for API management, ensuring smooth integration of the Minimax API for content analysis and FFmpeg for video processing. By developing a local indexing system with SQLite, I can help track processed videos and avoid duplicates. The workflow will effectively transcribe audio, analyze transcripts for engaging content, and create platform-specific marketing copy. This will streamline your entire content extraction and publishing process. With my experience in video processing and API integrations, I’m confident in delivering a solution that meets your needs and enhances your content strategy. Best regards, Saba Ehsan

@starttechno

You need an automated content pipeline on MacBook Air: process 500GB local video → Whisper transcribe → Minimax API identifies engagement hooks via structured JSON timestamps → FFmpeg cuts and crops to 9:16 vertical → Minimax generates platform-specific copy → n8n publishes to YouTube, Instagram, X. SQLite tracks processed videos to avoid duplicates. Max Hermes orchestrates locally with terminal/file access; n8n handles cloud API routing and scheduling. I'll build the core orchestration as a Node.js workflow running on your MacBook (runs locally, connects to cloud APIs). Architecture: a file watcher monitors your 500GB source directory, pulls videos in batches, calls Whisper via local binary or API to transcribe, sends transcripts + video metadata to Minimax for hook detection (Minimax returns timestamped JSON: [{start: 45, end: 90, engagement_score: 0.95}, ...]). Then FFmpeg automation reads those timestamps, cuts clips, applies 9:16 crop with padding/zoom logic, saves to "Ready to Publish" folder. Minimax generates captions/hashtags per platform. SQLite tracks video ingestion state so reruns skip processed videos. Finally, n8n monitors the output folder and publishes via Instagram Graph API, YouTube Data API, and X API with proper metadata/scheduling. I've built LLM-powered automation systems and API integrations at scale—this pipeline combines those strengths. Muhammad Saad

@ZohaibRoy

⭐⭐⭐⭐⭐ Build an AI-Driven Content Pipeline for Video and Marketing Optimization ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a developer to build an automated content pipeline. Look no further; Zohaib is here to assist you! My team has successfully completed 50+ similar projects for automated content processes. I will create a localized pipeline that efficiently processes your video library, generates marketing copy, and schedules posts across multiple platforms. ➡️ Why Me? I can easily handle your project as I have over 5 years of experience in video processing, automation, and API integration. My expertise includes working with FFmpeg, n8n, and AI-driven tools like Minimax API. I also have a strong grip on local database management and cloud orchestration, ensuring a smooth workflow for your content pipeline. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Video Processing ✅ API Integration ✅ Automation Workflows ✅ FFmpeg Utilization ✅ n8n Workflow Design ✅ Minimax API Knowledge ✅ Local Database Management ✅ Content Scheduling ✅ Transcription Services ✅ Marketing Copywriting ✅ Data Analysis ✅ Project Management Waiting for your response! Best Regards, Zohaib

@axiomswb

Turning your 500 GB video library into a fully automated, AI-driven publishing engine across YouTube, Instagram, and X. You need a hands-free macOS pipeline that ingests raw footage, extracts high-engagement hooks via AI, renders vertical clips, and publishes platform-specific content — zero manual steps. Here is my exact execution plan: Ingestion & State Engine: SQLite index tracks every source file, timestamps, and processing status — no duplicate renders, ever. AI Hook Selector: Whisper transcribes audio locally; Minimax API analyzes transcripts and returns structured JSON with precise start/end timestamps for highest-engagement moments. Media Render Module: FFmpeg reads those timestamps, cuts the clip, and auto-crops to 9:16 vertical — output lands in the Ready to Publish folder automatically. Copywriting Engine: Minimax generates platform-specific captions, hashtags, and SEO titles per clip, tied to context from the winning segment. n8n Publishing Handoff: n8n monitors the output folder and securely publishes via Instagram Graph API, YouTube Data API, and X API with full webhook logging. I will deliver this in 7 days for 158 AUD, built and tested on macOS with Max Hermes + n8n orchestration as specified. Are you running Whisper via a local Python environment, or do you want me to configure that as part of the setup?

@edwarddzi8f

Hi there, I can help you with the AI-driven content extraction pipeline. The core challenge here is coordinating the local Hermes agent with n8n while keeping everything reliable on a MacBook. I'd set up SQLite to track which videos are processed, then wire Hermes to call Minimax for hook detection, pass timestamps to FFmpeg for the cuts, and have n8n handle the social publishing via their APIs. I've done similar local-to-cloud orchestration before. I'm Edward and happy to chat about the architecture if you want.

@anshumanvermaUK

Hi, I have experience with Python, AI agents, n8n, FFmpeg, Whisper, OpenAI, workflow automation, API integrations, and local AI pipelines. My recent work includes OCR/document-processing platforms, AI orchestration, automation workflows, and media processing systems. I would recommend SQLite for state tracking with a modular architecture where local processing (Hermes/FFmpeg/Whisper) communicates with n8n through structured JSON webhooks for reliable publishing. Thanks, Anshuman

@waqaswebmaster

Hi, There I have 4+ years of experience with n8n automation, API integrations, SQLite, FFmpeg, local AI workflows, and content publishing systems. I can build the complete macOS pipeline for indexing the 500 GB video library, Whisper transcription, Minimax-based hook selection, automated 9:16 clipping, metadata generation, and multi-platform publishing. I will also provide a clear hour estimate split between local processing and cloud orchestration, plus the database schema and webhook architecture. I can start immediately and deliver a reliable, duplicate-safe workflow. Waqas

@FizzaNadeemK

Hi, I can help you build this automated AI content pipeline to turn your large video library into optimized short-form content with minimal manual work. I have experience building AI automation workflows involving transcription, API integrations, media processing, and scheduled publishing systems. My approach would include local video indexing with SQLite, Whisper based transcription, Minimax integration for clip selection and copy generation, FFmpeg automation for 9:16 rendering, and n8n workflows for social publishing. I can also provide a clear architecture plan covering local processing, cloud orchestration, API communication, and state tracking. I would be happy to discuss your workflow and provide an estimated hours breakdown for each development phase. Best Regards, Fizza Nadeem K

@usmanbashir12100

Hi I can build this end-to-end AI content pipeline for macOS using local processing for media tasks and n8n for cloud orchestration. The workflow will include video indexing with SQLite, local transcription using Whisper, AI-powered hook detection through the Minimax API, automated FFmpeg clipping and 9:16 rendering, metadata generation, and publishing to YouTube, Instagram, and X. I'll design a reliable architecture that tracks processed videos, prevents duplicates, securely connects Max Hermes with n8n webhooks, and keeps API usage efficient. I'll also provide a clear breakdown of development hours, architecture documentation, and deployment guidance. I have experience building AI automation pipelines, API integrations, FFmpeg workflows, and n8n-based automation. Best Muhammad Usman

@toriquldev123

Hello There! I’m Md Toriqul Islam, and I’m excited to partner with you. I can start immediately and have experience building AI automation pipelines, Python workflows, API integrations, and media-processing systems. I understand you need a local AI-driven content pipeline that transcribes videos, identifies high-engagement clips using Minimax, renders vertical videos with FFmpeg, generates captions, and automates publishing through n8n to YouTube, Instagram, and X. I can deliver a scalable, well-documented architecture with reliable state tracking and automation. I am skilled in Python, n8n, FFmpeg, Whisper, SQLite, REST APIs, workflow automation, and AI integration. I can provide a detailed architecture, development-hour breakdown, database design, and API integration plan before implementation. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@qualityxenter

Affordable, Early Delivery. ★★★★★★★★★★★★★★I hold a Masters degree which gives me the requisite background to handle writing from various subjects. I am a highly committed person towards my work. You can rely on QualityXenter for quality and consistency in writing. We never violate copyright rules. I have vast amount of experience in this industry since I am working from 2015 as a professional writer. I provide many modifications till to get your satisfactions. I have access to enough journals to use in your research project. I always produce quality work at VERY LOW RATES so, don't worry if you have a low budget for your work, I will be very happy to make a new client like you. I am producing quality work for my clients including ARTICLE WRITING, REPORT WRITING, ESSAY WRITING, RESEARCH PAPERS, BUSINESS PLAN, TECHNICAL WRITING, MATLAB, THESIS, ACCOUNTING & FINANCE work ETC. Go through my profile link https://www.freelancer.com/u/qualityxenter

@ashinnd84

Hello there, we are a team of Python, AI/ML automation Full Stack Web and Mobile App Developers. We can do this project in no time. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@mykhaylob4

✋ Hi there. I can build your local AI-driven content extraction pipeline on macOS, integrating FFmpeg, Whisper, Minimax API, and n8n for automated publishing. ✔️ I have experience building similar video processing pipelines with FFmpeg and Whisper, orchestrating local and cloud components. I will develop this by setting up a local SQLite database for video inventory tracking, building the Whisper transcription service, integrating the Minimax API for transcript analysis and copy generation, writing FFmpeg scripts for clipping and cropping to vertical format, and connecting n8n for scheduling and publishing to Instagram, YouTube, and X. Please click the 'Chat' button to start our valuable conversation. Looking forward to collaborating with you! Best regards, Mykhaylo

@Prutheus

Your architecture is already right: local Whisper for the 500GB library, LLM for hook selection and copy, FFmpeg for the 9:16 cuts, n8n for scheduling to YouTube/Instagram/X. I build exactly these pipelines — my job would be making it robust and hands-off, not experimenting on your dime. My plan: - Local layer (macOS): batch Whisper transcription with a manifest DB so 500GB processes resumably, not in one fragile run; FFmpeg templates for 9:16 crops/captions - Cognitive layer: Minimax API for transcript analysis, hook selection and per-platform copy — with a prompt suite you can tune - Publishing: n8n flows for scheduling + retries + a review queue before anything goes live - Handover: documented setup, one-command runs Proof: I ship production AI/automation pipelines (Airflow + LLM systems running 24/7 for industrial clients) — prutheus.com. Working end-to-end slice (one video → three platforms) in 5 days. Is the Mac the permanent runtime, or should heavy steps be offloadable later? Martin

@mubeenm5026

With over a decade of experience, Web Crest has built a solid reputation for delivering cutting-edge solutions with a strong focus on AI-powered automation, SaaS platforms, and web applications. Our skill sets perfectly align with the objectives and core tech stack detailed in your project description. In terms of your specific needs, our team's versatility with PHP is especially pertinent here. We can deploy this powerful development language to set up your local storage indexing system utilising an efficient database like SQLite for tracking processed videos and ensuring zero-duplication. Moreover, our extensive knowledge of API integration architecture will ensure seamless mapping of Max Hermes' local outputs to the desired cloud webhooks. Not only do we have deep expertise in using OpenAI services such as Whisper for transcription and text analysis, but we're also adept at implementing FFmpeg - the ideal choice for the video-cutting routine you require. Additionally, Web Crest has ample skill in n8n which will not only enable us to set up the scheduler but also effectively handle social publishing aspects of your desired platforms such as Instagram and YouTube. Trust our tried-and-tested approach to provide you with an automated content engine that performs impeccably and delivers tangible results.

@MIndlabsAi6

Hey there! I'm really pumped about this opportunity! I recently led a project with similar challenges and nailed it. Drawing from my experience in PHP, Copywriting, Article Writing, Content Writing, Social Media Marketing, SQLite, API, Video Processing, Content Creation, n8n, I’m ready to dive into your project. Please initiate a chat for further discussion. Cheers, Vishal Maharaj

@naseeb1995

Hi Your project Local/Web AI-Driven Content Extraction & Publishing Pipeline aligns perfectly with my expertise in AI and automation. I can help design, build, and deploy intelligent systems using AI Agents, n8n, OpenAI, API integrations, workflow automation, and chatbot solutions. I prioritize clean implementation, reliability, and long-term scalability while ensuring clear communication throughout the project. My solutions are designed to save time and improve business efficiency. Let's discuss how I can help bring your project to life. Best Regards, Naseeb A.

@DigitalNightOwl8

Hello Mate!Greetings , Good evening! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in API, Content Writing, Social Media Marketing, SQLite, Video Processing, Content Creation, Article Writing, PHP, n8n and Copywriting. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. "Ready to Publish" Looking forward to hearing you back and discussing all details.. Hope to hear from you soon