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Technical Spec to Audio in a British Voice

Narrate RFCs, specs and plain-text standards in a British English neural voice. Choose a page range to hear only the sections you actually need.

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PDF to MP3 - Convert PDF, EPUB, DOCX & Text to Audiobook
PDF to MP3 - Convert PDF, EPUB, DOCX & Text to Audiobookmarielise.dev/pdf-to-mp3
Outcome
Document title
Index page URL
First MP3 URL
+16 fields
Text
Number
Boolean
List
Object

Input

Document URL:https://www.ietf.org/rfc/rfc2616.txt
Voice (optional, overrides language):en-GB-SoniaNeural
Page / section range:1-4
Language:auto
Max cost ceiling (USD, optional):5

Output fields

Outcome
Document title
Index page URL
First MP3 URL
Key-value store key
Total duration in seconds
Total duration, formatted
Number of MP3 parts
Total audio size in bytes
Audio format
Characters narrated
Pages or sections narrated
Pages recovered by OCR
Language setting used
Voice used
TTS model used
Actor charges for this run in USD
Chunks OK
Chunks skipped
Error message when status is failed

How it works

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The PDF to MP3 - Convert PDF, EPUB, DOCX & Text to Audiobook Actor is ready to run with the inputs already set for "Technical Spec to Audio in a British Voice". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Technical Spec to Audio in a British Voice" task

The PDF to MP3 - Convert PDF, EPUB, DOCX & Text to Audiobook Actor will start running based on the input automatically. You can also change all the input fields, like document url, voice (optional, overrides language), and more, to match your specific use case.

Receive the "Technical Spec to Audio in a British Voice" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as outcome, document title, index page url, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Technical Spec to Audio in a British Voice" task via API.

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