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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63145

VOICEPLOT: VOICE-TO HANDWRITING USING CNC PLOTTER

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63145

Volume:

10 |

5 |

May 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VB

Viranchi Bhagat

Artificial Intelligence Engineering

Priyadarshini Bhagwati College of Engineering

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DN

Dipika Nimje

Artificial Intelligence Engineering

Priyadarshini Bhagwati College of Engineering

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HD

Hardik Didmuthe

Artificial Intelligence Engineering

Priyadarshini Bhagwati College of Engineering

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PT

Piyush Tiwari

Artificial Intelligence Engineering

Priyadarshini Bhagwati College of Engineering

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AD

Ashik Dhete

Artificial Intelligence Engineering

Priyadarshini Bhagwati College of Engineering

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PW

Prajwal Warhadkar

Artificial Intelligence Engineering

Priyadarshini Bhagwati College of Engineering

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Abstract

This document introduces VoicePlot AI, a platform that transforms spoken audio into tangible hand-written output via a CNC pen plotter. The pipeline con-nects four unique stages: capturing audio through sounddevice, transcribing speech to text locally with OpenAI Whisper, generating scalable vector graphics (SVG) using a personalized single-stroke font renderer, and controlling hardware motors via the AxiDraw Python API that operates a custom CNC pen plotter. A web server based on Flask integrates all phases and provides a browser dashboard for live monitoring and management. The system functions completely offline, requiring no in-ternet connection during operation, which makes it appro-priate for use in areas with limited connectivity. Experi-mental testing shows effective end-to-end transcription and physical representation of spoken phrases, achieving a word error rate below 10% for clear speech. The pen-lift servo's hardware characterization showed a cold-start delay, resulting in the initial written word being missed; the underlying issue and a software solution are outlined thoroughly. Possible uses include accessibility tools for individuals with motor disabilities, automated generation of certificates, and AI-based art installations.

KEYWORDS

Keywords: VoicePlot AI CNC Pen Plotter OpenAI Whisper Speech Recognition SVG Path Creation Ax-iDraw API Flask Live Transcription Assistive Technol-ogy.

Cite This Article

Viranchi Bhagat, Dipika Nimje, Hardik Didmuthe, Piyush Tiwari, Ashik Dhete, Prajwal Warhadkar, "VOICEPLOT: VOICE-TO HANDWRITING USING CNC PLOTTER," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-6, May 2026.

Full Article/Conclusion

VoicePlot AI demonstrates that it is now practical to build a voice-to-handwriting system using entirely open-source components running on commodity hardware, with no cloud dependency and an installation that fits in a single batch script. The pipeline from microphone to pen-on-pa-per works reliably for English speech in controlled acous-tic conditions, and the physical output is consistently readable. The main technical contributions are: the description of the end-to-end pipeline integration across four complex subsystems; the identification and software fix of the cus-tom plotter servo cold-start bug; and the implementation of a custom single-stroke font for direct SVG path gener-ation. The servo fix a warmup path plus an increased pen_delay_down value is likely to be relevant to anyone using the AxiDraw API with SG90-based plotter hard-ware. Future work will focus on three areas: Voice Activity De-tection for natural recording without a fixed time win-dow; Devanagari script support for Hindi and Marathi output; and emotion-aware font style selection, where a sentiment analysis layer chooses between different em-bedded fonts based on the detected tone of speech.

References

[1]  R. R. Jegan, S. Sobana, and K. S. Nath, "Modern De-sign and Implementation of XY Plotter," International Journal of Pure and Applied Mathematics, vol. 119, no. 12, pp. 13659–13665, 2018. [2]  Y. M. Hasan, A. A. Ali, and M. M. Ahmed, "3-Axes Plotter Machine by Arduino and CNC Shield," Interna-tional Research Journal of Engineering and Technology (IRJET), vol. 05, no. 06, pp. 1234–1239, 2018. [3]  A. Pinheiro, B. S. Darsana, and J. George, "Wireless CNC Plotter," International Journal of Advanced Re-search in Electrical, Electronics and Instrumentation En-gineering, vol. 5, no. 5, pp. 45–50, 2016. [4]  S. Chamraz, P. Drgona, and M. Hrianka, "Control of Mechatronic Systems Using Integer Arithmetics," in Proc. IEEE 12th Int. Symp. on Applied Machine Intelli-gence and Informatics (SAMI), 2014, pp. 115–118. [5]  M. Bhavani, V. S. Kumar, and K. R. Reddy, "Design and Implementation of CNC Router for Engraving," In-ternational Journal of Engineering and Advanced Tech-nology (IJEAT), vol. 8, no. 4, pp. 210–214, 2019. [6]  K. J. Madekar, K. J. Nanaware, and P. R. Sonawane, "Automatic Mini-CNC Plotter Machine for PCB Draw-ing," International Journal of Innovative Research in Computer and Communication Engineering, vol. 4, no. 2, pp. 120–125, 2016. [7]  U. Pandey, A. Kumar, and S. Singh, "Low-Cost CNC Plotter Using Arduino and L293D Shield," International Journal of Engineering Research & Technology (IJERT), vol. 6, no. 5, pp. 560–564, 2017. [8]   S. Ranjan, V. Kumar, and R. Singh, "Low-Cost 2D Plotter Using Arduino and Motor Driver ICs," Journal of Emerging Technologies and Innovative Research (JE-TIR), vol. 8, no. 4, pp. 345–350, 2021. [9]   M. Aditi, S. N. Patil, and R. K. Gupta, "Automated Writing and Drawing Machine with Speech Recogni-tion," in Proc. Int. Conf. on Smart Electronics and Com-munication (ICOSEC), 2021, pp. 789–794. [10]  A. V. Satikosre, P. D. Patil, and S. R. Deshmukh, "Automatic Writing Machine for Handwriting Replica-tion," International Journal of Scientific Research in Sci-ence and Technology (IJSRST), vol. 9, no. 3, pp. 112–118, 2022.

Editorial & Review Transparency

Publication Date

5/13/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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