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Score Freelancer Proposals from PDF with OpenAI GPT-4o Mini

Score Freelancer Proposals from PDF with OpenAI GPT-4o Mini

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Score Freelancer Proposals from PDF with OpenAI GPT-4o Mini

Score Freelancer Proposals from PDF with OpenAI GPT-4o Mini

Regular price £32.99
Regular price £32.99 Sale price
SAVE Sold out

Score Freelancer Proposals from PDF with OpenAI GPT-4o Mini—automatically generate a client-ready evaluation

If you review proposals manually, you’ll love this n8n workflow: it takes a client’s requirements and a freelancer’s proposal PDF, extracts the PDF text, and uses OpenAI GPT-4o Mini to produce a structured, criteria-based scorecard—rendered as an HTML report right on the form completion page.

What this workflow does

  • Collects inputs via an n8n Form: the client requirements text plus an uploaded proposal PDF.
  • Extracts the full PDF text from the uploaded file.
  • Scores the proposal with OpenAI (GPT-4o Mini) by sending the client requirements and extracted proposal text to the model.
  • Returns strict structured JSON containing a verdict, strengths, weaknesses, red flags, and improvements—scored across five criteria.
  • Converts the JSON into an HTML scorecard with a styled score breakdown and feedback sections.
  • Displays the report on the form completion page so stakeholders can review results immediately.

Use cases

  • Freelance hiring: quickly evaluate multiple proposal PDFs against your requirements and compare strengths, weaknesses, and red flags.
  • Agency operations: standardize scoring across reviewers using consistent five-criteria outputs from GPT-4o Mini.
  • SaaS proposal intake: turn PDF submissions into an audit-friendly HTML evaluation without manual summarization.

Technical details

  • OpenAI credential + GPT-4o Mini chat model node to score proposals and generate strict JSON.
  • Form Trigger to receive client requirements and uploaded files through the production URL.
  • Extract from file to read the uploaded PDF binary; ensure it uses the correct field name "Proposal_PDF".
  • Code and HTML rendering logic to parse AI JSON and generate the styled scorecard report.
  • Additional nodes used include form, sticky note, and the n8n-nodes-langchain / LLM integration.

Perfect for n8n automation workflow users who want a reliable, criteria-based proposal scoring pipeline powered by OpenAI and delivered as an instantly readable HTML report.

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