快速的工作流程
旨在減少直接上傳、快速處理和一鍵導出的摩擦。
打開 Video Blur,添加文件,然後選擇目標輸出並運行轉換。
該工具針對 視頻處理 進行了優化,並且在使用 mp4, mov, avi, mkv, webm 作爲輸入時效果最佳。
處理完成後,將結果下載到 mp4, mov, avi, mkv, webm 中並在共享之前驗證質量。
Video Blur 是一個隱私優先的實用程序,用於快速 視頻處理。它可以幫助您從 mp4, mov, avi, mkv, webm 過渡到 mp4, mov, avi, mkv, webm,並保持一致的輸出質量。
旨在減少直接上傳、快速處理和一鍵導出的摩擦。
文件在隔離的處理流程中進行處理,保留最少且用戶控制清晰。
輸出針對 mp4, mov, avi, mkv, webm 的實際用例進行了調整。
可預測的序列可確保跨設備和文件大小的轉換穩定。
Video Blur 接受 mp4, mov, avi, mkv, webm 並導出 mp4, mov, avi, mkv, webm。
該管道專爲隱私優先的處理而設計,用戶可以對輸入和輸出進行明確的控制。
使用高質量的源文件,選擇最接近匹配的目標格式,並避免重複的重新轉換週期。
Video Blur 遵循確定性轉換流程,因此結果可重複,並且在文件行爲異常時更容易排除故障。
Automatically blur faces or blur a fixed screen region throughout a video.
All video files are uploaded to encrypted ConvertCraft servers and processed within isolated containers. Face detection runs locally on our infrastructure — no biometric data is stored or transmitted externally. Every original file and processed output is permanently deleted from our servers immediately after your download session ends.
This tool offers two censorship modes: AI-powered face detection blur and fixed-region masking. Auto Face Blur employs a convolutional neural network for face detection, generating per-frame bounding box masks that are applied using FFmpeg's boxblur filter with configurable radius and power parameters. Region Blur applies a static coordinate-based mask using the crop and overlay filters. The intensity slider adjusts between subtle Gaussian blur (low values) and heavy mosaic pixelation (high values) by varying the blur radius and pixel block size.
Critical for GDPR and privacy compliance when publishing footage containing identifiable individuals — blur faces in crowd shots, bystanders in street photography, or participants in recorded meetings. Also essential for censoring licence plates in dashcam footage, hiding sensitive information in screen recordings and tutorials, or obscuring brand logos and trademarks in commercial content before distribution.
See the detailed comparison guide or try a related tool:
MP4, MOV, AVI, MKV, WebM and more