Image Eraser

Image Eraser

Playground

Powerful AI Image Eraser removes objects, people, or text and reconstructs backgrounds with natural detail and consistent lighting. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

The AI Image Eraser is a professional-grade inpainting model that removes unwanted objects, text, or people from your photos — while perfectly reconstructing the background with natural detail and texture. Built on WaveSpeedAI’s next-generation visual restoration engine, it ensures seamless results indistinguishable from the original image.

⚙️ Key Features

• Precision Object Removal Erase unwanted subjects, logos, or blemishes with pixel-perfect accuracy.

• Context-Aware Reconstruction Rebuilds erased regions using AI-driven scene understanding to restore lighting, shadows, and depth.

• Multi-Region Editing Remove several areas at once — ideal for complex photo cleanups.

• High-Resolution Support Works with HD, 2K, and 4K images without visible loss in quality.

• Fast & Reliable Optimized for WaveSpeedAI’s accelerated inference clusters for near-instant output.

💡 Recommended Use Cases

• Removing people or objects from travel and portrait photos
• Cleaning up AI-generated images or artwork
• Erasing unwanted text, timestamps, or blemishes
• Preparing product or marketing visuals for reuse

💰 Pricing

Each run costs $0.025 — pay only for what you erase.

📝 Notes

• Works best when the selected area has enough surrounding context.
• Outputs are available in JPEG, PNG, or WEBP format.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/image-eraser" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters