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Design an image-to-multilanguage translator

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design a scalable, low-latency system for processing images with OCR and multilingual translation, exercising competencies in distributed systems, storage and data modeling, frontend-backend communication, security/privacy, and observability.

  • medium
  • Axon
  • System Design
  • Software Engineer

Design an image-to-multilanguage translator

Company: Axon

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

## Scenario Design a service that lets users upload an image containing text (e.g., a menu, screenshot, street sign), and returns the same image with the text translated into a target language (or multiple target languages). ## Requirements ### Functional - Upload an image and select **target language(s)**. - System performs **OCR** to detect text and bounding boxes. - Translate detected text into target language(s). - Return: - A **translated image** (text rendered back onto the image), and/or - A structured result: detected text blocks, bounding boxes, original text, translated text. - Support common image formats (JPG/PNG). Handle large images. ### Non-functional - Low latency for interactive usage (single image). - Scalable for bursts (batch-like spikes). - Reliability: retries, idempotency, job tracking. - Security & privacy: images may contain sensitive content. - Observability: metrics, logs, tracing. ## Deep-dive areas to be ready for - Frontend ↔ backend communication and security (authn/authz, request integrity). - Data model: what tables/documents exist, what each is used for. - How you store images and derived artifacts (OCR outputs, translations, rendered images). - Handling multiple target languages per image and caching.

Quick Answer: This question evaluates a candidate's ability to design a scalable, low-latency system for processing images with OCR and multilingual translation, exercising competencies in distributed systems, storage and data modeling, frontend-backend communication, security/privacy, and observability.

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Axon logo
Axon
Feb 3, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
10
0
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Scenario

Design a service that lets users upload an image containing text (e.g., a menu, screenshot, street sign), and returns the same image with the text translated into a target language (or multiple target languages).

Requirements

Functional

  • Upload an image and select target language(s) .
  • System performs OCR to detect text and bounding boxes.
  • Translate detected text into target language(s).
  • Return:
    • A translated image (text rendered back onto the image), and/or
    • A structured result: detected text blocks, bounding boxes, original text, translated text.
  • Support common image formats (JPG/PNG). Handle large images.

Non-functional

  • Low latency for interactive usage (single image).
  • Scalable for bursts (batch-like spikes).
  • Reliability: retries, idempotency, job tracking.
  • Security & privacy: images may contain sensitive content.
  • Observability: metrics, logs, tracing.

Deep-dive areas to be ready for

  • Frontend ↔ backend communication and security (authn/authz, request integrity).
  • Data model: what tables/documents exist, what each is used for.
  • How you store images and derived artifacts (OCR outputs, translations, rendered images).
  • Handling multiple target languages per image and caching.

Solution

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