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I have a series of technical, industry-specific podcast episodes that need to be turned into clean, word-for-word transcripts and then summarized into a simple data sheet for quick reference. Accuracy with jargon is critical because each episode is packed with domain terminology that my team will later quote in white-papers and slide decks. Here is how the workflow should run from my side: • You receive the raw audio file and a short show-note outline. • You create a verbatim transcript, lightly edited for readability (ums, ahs, false starts removed). • You capture speaker names and insert a time-stamp every five minutes to make navigation easier. • Key data points—guest name, episode title, main topics, quoted statistics—are copied into a spreadsheet row so I can search them later. I normally work with Word for the transcript itself and Excel for the data sheet, but if you prefer a different tool chain (e.g., Google Docs/Sheets or transcription software such as [login to view URL] or Descript), that’s fine as long as the final files land in .docx and .xlsx formats. Turnaround on a single episode should be no more than 48 hours once you confirm receipt of the audio. Deliverables will be accepted when: 1. The transcript is at least 98 % accurate based on a random three-minute spot check. 2. All requested metadata fields in the spreadsheet are filled in and spell-checked. 3. Technical terms match the usage found in the episode audio. If this workflow fits your skill set, let me know and I’ll send over a test episode so we can kick things off.
Project ID: 40645366
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Active 7 days ago
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11 freelancers are bidding on average ₹904 INR/hour for this job

Hi Hardik, I will deliver verbatim transcripts and data sheets from your podcast episodes. I commit to 48-hour turnaround. Do you want a free sample? Waiting for your response in chat! Best Regards.
₹1,000 INR in 3 days
5.3
5.3

Hi! Thank you for posting your project on Freelancer.com! I'd be delighted to help. As an experienced and skilled transcriber, I can offer to either manually transcribe or edit machine-transcribed text to your specifications, adding all necessary details and listing key points in a spreadsheet as required. Up until 2025, I had been transcribing hundreds of hours of single- and multi-speaker audio and video recordings per year for my international clients, using playback software, a foot pedal and earphones. With the advent of AI, the emphasis has shifted towards post-editing and quality assurance, while the high standards to which I hold myself have remained unchanged. As a university-trained linguist and EU-certified terminology manager, I am also aware of the importance of representing domain-specific terms and phrases accurately. If you would like to discuss your requirements and schedule, please reach out to me on the Freelancer platform. Kind regards, Alexandra Hirsch Witinall Language Services
₹1,000 INR in 40 days
4.5
4.5

Hi, I can transcribe your technical podcast episodes into clean Word transcripts and prepare a searchable Excel data sheet with guest details, topics, timestamps, and quoted statistics. The best solution is to first review the audio file, show-note outline, speaker names, timestamp format, and spreadsheet columns. Then I’ll create a verbatim transcript, lightly clean filler words and false starts, preserve technical terminology accurately, add timestamps every five minutes, and enter key metadata into Excel. I’m comfortable with podcast transcription, technical audio content, speaker identification, Word formatting, Excel data entry, timestamping, terminology checking, proofreading, and preparing content for white-papers or slide decks. Deliverables will include: * Verbatim transcript in .docx * Light readability cleanup * Speaker names included * 5-minute timestamps * Technical term accuracy check * Episode title and guest entry * Main topics summary * Quoted statistics capture * Excel metadata sheet * Final proofreading Turnaround: within 48 hours per episode after receiving audio, depending on length and audio clarity. I’ll focus on 98%+ accuracy, correct jargon, clean formatting, and reliable data entry so your team can reuse the transcript and reference sheet confidently. Best regards Ankit
₹1,000 INR in 40 days
2.9
2.9

The first execution step involves processing the raw audio and show-note outline to create a verbatim transcription for the first podcast episode. I will ensure the transcription meets the requirement for accuracy by meticulously reviewing the audio against the provided outline, focusing heavily on capturing the technical industry specific terminology accurately. Following transcription, I will perform the necessary data entry, capturing guest names, episode titles, main topics, and quoted statistics directly into a structured spreadsheet format. The final deliverables will be a .docx file for the transcript and a .xlsx file for the data sheet, with time-stamps inserted every five minutes for easy navigation. Acceptance will be confirmed when a random three-minute spot check verifies 98% accuracy and all metadata fields are complete and spell-checked against the audio content. To ensure the technical accuracy of the data, could you specify the typical length of the episodes I will be working with?
₹1,000 INR in 40 days
2.5
2.5

This project immediately caught my attention because it is exactly the type of work I do best. The need for clean, professional, and accurate transcripts, along with a seamless integration of key data points into a spreadsheet, aligns perfectly with my skills. While I am new to freelancer, I have tons of experience and have done other projects off site. I specialize in transcription and data entry, ensuring that industry-specific jargon is accurately captured and organized. If this sounds like what you're looking for I'd love to hear more about your project. Regards, Warrick Van Eeden
₹750 INR in 7 days
1.2
1.2

Hi, Technical transcription is only useful when the terminology is accurate enough to quote with confidence. I can turn each episode into a carefully proofread Word transcript, preserving speaker identity, adding 5-minute timestamps, and removing only the filler and false starts you’ve specified. I’ll also build the Excel reference sheet with guest details, topics, episode information, and quoted statistics, checking terminology against the audio and supplied show notes rather than guessing. I can work within your 48-hour per episode requirement and am ready to begin with the test episode. Best regards, Kaushal Kishor
₹900 INR in 12 days
0.0
0.0

Your project to transcribe technical podcast episodes and summarize them into a data sheet is a crucial task for your team's upcoming white papers and presentations. I understand the importance of accuracy, especially with industry jargon, and can ensure that every detail is captured precisely. My process will include creating a clean, verbatim transcript, removing any filler words for clarity, and inserting time stamps for easy navigation. I'll also compile the key data points into a well-organized spreadsheet in Excel, ensuring all fields are filled accurately. With a commitment to a 48-hour turnaround per episode, I prioritize clear communication and adherence to your specifications. You can review my portfolio for similar transcription work, demonstrating my attention to detail and accuracy. Which specific technical terms should I be particularly mindful of during the transcription?
₹750 INR in 7 days
0.0
0.0

Hello, I will carefully transcribe your technical podcast episodes into accurate, readable Word documents while preserving the terminology used in the audio. I’ll identify the speakers, remove unnecessary ums, ahs, and false starts, and add timestamps every five minutes for easy navigation. I’ll also extract the requested metadata and key data points—including the guest name, episode title, main topics, and quoted statistics—into a clean, organized Excel spreadsheet, ensuring everything is accurately spell-checked. I have 6 months of experience as a legal transcriber, where accuracy, attention to detail, and consistent terminology are essential. I understand that your transcripts will later be used for white papers and slide decks, so I’ll carefully verify technical terms against the audio rather than guessing. I can work within your requested 48-hour turnaround per episode. May I ask what industry or technical field the podcasts cover? This would help me understand the terminology involved before beginning the test episode. Thanks! Kutlwano
₹1,000 INR in 20 days
0.0
0.0

Hhi I am experienced in this and I can start right now but i have few doubts and questions lets have a quick chat and get it started waiting for your replyyy ! r
₹1,000 INR in 40 days
0.0
0.0

I can handle your technical podcast transcription and data-sheet workflow with a strong focus on accuracy and technical terminology. I will: * Create clean, accurate verbatim transcripts from your audio. * Remove unnecessary ums, false starts, and repetitions while preserving the original meaning. * Add speaker names and timestamps every 5 minutes. * Carefully verify technical and industry-specific terms. * Extract episode title, guest name, key topics, quoted statistics, and other required metadata into Excel. * Proofread and spell-check all deliverables before submission. * Provide the final files in both .docx and .xlsx formats. I understand that your requirement is at least 98% accuracy, so I will carefully review the transcript rather than relying solely on automated transcription. I am available to start with your test episode and can meet your 48-hour turnaround requirement. I look forward to working with you.
₹799 INR in 40 days
0.0
0.0

Mehsana, India
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