Machine Transcription Polishing
Human Corrected Machine Transcripts.
Transcription Polishing: Accuracy Refined
AI-generated transcripts offer speed but often lack accuracy and clarity. Our Machine Transcription Polishing service enhances them to human-quality standards, correcting grammar, punctuation, and context for clear, professional transcripts. With fast turnaround times and cost-effective solutions, we ensure your transcripts are polished, precise, and ready for use.
↓ Explore our use cases below
Why Choose Our Service?
Our Machine Transcription Polishing (MTP) service is designed for B2B clients handling large-scale ASR transcript refinement. Ideal for technology companies and AI developers, we enhance speech recognition models and voice analytics. For smaller transcription needs, our Standard Transcription service delivers 99%+ accuracy with human-generated transcripts.
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Machine Transcription Formats
Polished Machine Transcript Formats
Before Polishing
[Segment 1, Left, 0.0 – 8.1s]:
SPEAKER: No remember I don’t know the internet system provider so I would park it’s a costing issue so it’s already here and.
[Segment 2, Left 10.1 – 12.4s]:
SPEAKER: It was.
[Segment 3, Left, 12.9 – 20.8s]:
SPEAKER: Have no I don’t think you will have a computer course the issue I would suspect the rest different issues with the internet system so I’m.
[Segment 4, Left, 21.9 – 25.1s]:
SPEAKER: So bare with me a second so you made this account from just got to and have you been I mean is it choosing.
After Polishing
[Segment 1, Left, 0.0 – 8.1s]:
SPEAKER: Not the router, no, it’s the internet service provider’s route path that’s causing an issue, so it’s all on their end.
[Segment 2, Left, 10.1 – 12.4s]:
SPEAKER:
[Segment 3, Left, 12.9 – 20.8s]:
SPEAKER: Well, no, I don’t think it’s your computer that’s causing the issue, I expect that it’s definitely issues with your service provider.
[Segment 4, Left, 21.9 – 25.1s]:
SPEAKER: So bear with me one second. So you made this call from Chicago? And have you be~ been, I mean are you using.
Frequently Asked Questions about our
Machine Transcription Polishing
Who uses your Machine Transcription Polishing service?
Our Machine Transcription Polishing service is ideal for large-volume orders on a B2B basis where automatic speech recognition needs proofreading under specific parameters in order for a client (usually a technology company) to test or improve their existing automated speech recognition systems. The service is not targeted at customers that want to improve auto-generated transcripts on a small scale. For this, we recommend using our Standard Transcription service in order to receive 99%+ accuracy guaranteed.
Who edits my machine-generated transcripts?
Once we understand the client’s exact needs and finalise terms of service, we source, assess and contract our MTP transcribers specifically for the client’s job. We ensure the team meets the agreed polishing requirements. Our reputation is based on a very selective process to contract a highly professional MTP transcription team. We match the client’s job requirements with MTP transcribers best suited to ensure client needs are met. For all work, we also provide a dedicated manager to oversee work on a daily basis.
How do you ensure accuracy?
Once the first transcribers are in place we start polishing the machine-generated transcripts. While doing so, we introduce a series of quality control steps in the workflow cycle to ensure all data processes for receiving, processing and returning client work are 100% in accordance with the agreed parameters. We also monitor all the processes to ensure strict adherence to prevailing and client-specific data protection requirements.
Do you sign Service Level Agreements?
For ongoing work, we prefer to work with an SLA. The SLA sets out a clear timetable that includes an initialisation period to set up the required team and logistics for client work. The SLA also covers terms and conditions related to the work and data privacy. If a client requires ongoing work, over an agreed period, Way With Words also usually provides a dedicated MTP team with management oversight, recruitment, selection, assessment, training processes and any other logistical assistance to aid the bespoke requirement.
How Machine Transcription Polishing works
Our services can be customised to suit your specific requirements.Step 1: Upload your files
Easily submit your audio recordings and machine-generated transcripts through our secure platform. Upload files via our website or transfer them through an agreed SFTP process. Our team checks audio clarity and transcript alignment, ensuring a smooth workflow before polishing begins. Fast, secure, and hassle-free.
Step 2: We Perfect Your Transcript
Once we receive your files, our transcribers carefully proofread and refine each machine-generated transcript. We correct errors, enhance readability, and ensure accuracy in grammar, punctuation, and context. Every transcript is polished to meet your specific formatting requirements, delivering clear and precise results.
Step 3: Receive The Final Copy
Once polishing is complete, we deliver your refined transcripts securely and on time. Whether via direct download, SFTP transfer, or your preferred method, we ensure a seamless handover. Your transcripts are now accurate, well-formatted, and ready for use, saving you time while maintaining professional quality.
Way With Words
Enhancing ASR Transcripts with Human Precision.
At Way With Words, we specialise in refining machine-generated transcripts, ensuring they are accurate, clear, and professionally formatted. While automatic speech recognition (ASR) technology is fast and efficient, it often struggles with complex sentences, speaker differentiation, and industry-specific terminology. Our Machine Transcription Polishing (MTP) service bridges this gap, improving readability, precision, and reliability.
With decades of transcription expertise, we apply human insight to correct errors, inconsistencies, and formatting issues, producing transcripts that are grammatically accurate and contextually sound. This service is widely used in AI and machine learning development, where high-quality data is essential for training speech models. It also supports financial and insurance services in ensuring compliance with regulatory documentation and customer communication records. In call centres and customer analytics, polished transcripts help extract meaningful insights, improving customer experience and service strategies.
Machine Transcription Polishing Use Cases
Our Machine Transcription Polishing service enhances automated speech-to-text transcripts, ensuring greater accuracy and readability. Clients using ASR technology in AI research, call centre management, and FinTech analytics rely on our expertise to refine machine-generated transcripts, improving data quality, compliance, and user insights for their speech-driven applications.
Call Centres
At Way With Words, we enhance machine-generated transcripts for call centres and voice analytics platforms, improving speech recognition accuracy and data reliability. ASR transcripts often contain errors due to background noise, accents, and complex conversations. Our polishing service refines these transcripts, ensuring clear, accurate text for analytics and compliance.
By improving transcript quality, call centres gain deeper “voice of the customer” insights, enhanced performance tracking, and faster operator management. With polished, high-quality transcripts, businesses can optimise customer interactions, improve decision-making, and maximise the value of their speech data.
AI Research
At Way With Words, we refine ASR-generated transcripts for AI research and analytics, enhancing data accuracy and usability. Machine-generated transcripts often contain errors that affect AI model training and data analysis. Our polishing service ensures clarity, precision, and contextual accuracy, making transcripts reliable for research applications.
By improving transcript quality, AI-powered platforms gain stronger data interrogation, enhanced pattern recognition, and better contextual analysis of human behaviour. This leads to more accurate research models, deeper insights across multiple data sources, and improved AI-driven decision-making, ensuring higher-quality outcomes for AI research and analytics.
Fintech Analytics
At Way With Words, we enhance machine-generated transcripts for FinTech applications, improving speech recognition, NLU, NLP, and predictive modelling. ASR transcripts often contain errors that impact financial analytics and decision-making tools. Our polishing service refines these transcripts, ensuring greater accuracy and clarity for financial data processing.
With precise, polished transcripts, FinTech platforms can monitor customer interactions more effectively, identify decision trends, and address pain points in real time. This leads to stronger risk assessments, enhanced compliance monitoring, and more reliable speech analytics, supporting better financial insights and operational efficiency.