Data Format Transformer / 数据格式转换器

Convert between JSON, YAML, XML, TOML, and CSV with schema validation and pretty-printing. / 在JSON、YAML、XML、TOML和CSV之间转换，带模式验证和美化输出。

Convert between JSON, YAML, XML, TOML, and CSV with schema validation and pretty-printing. / 在JSON、YAML、XML、TOML和CSV之间转换，带模式验证和美化输出。

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Quick Start / 快速开始

bash

data-format-transformer --input data.yaml --output data.json --validate This converts a YAML file to validated JSON, ensuring no structural data loss. / 将YAML文件转为经过校验的JSON，保证数据结构零丢失。 

Features / 功能

• Convert between JSON, YAML, XML, TOML, and CSV in one command / 一键完成JSON、YAML、XML、TOML、CSV格式互转，数据处理从未如此简单 • Schema validation catches structural errors before conversion / 转换前自动校验数据模式，从源头拦截格式错误，避免下游报错 • Pretty-print output with customizable indentation / 智能美化输出，支持自定义缩进，让混乱数据瞬间整洁可读 • Bulk batch processing via piping for large file sets / 支持管道批量处理海量文件，一键转换整个项目数据集 • Advanced nested flattening and unflattening logic (Pro) / Pro版支持深层嵌套压平与还原，轻松处理复杂层级结构 • Custom schema templates and auto-detection of ambiguous formats (Pro) / Pro版可自定义模式模板，并自动识别歧义格式，杜绝误判

Common Use Cases / 常见场景

• A DevOps engineer needs to migrate Kubernetes configs from YAML to JSON for a new CI pipeline — one command transforms and validates all files. / 运维工程师需将Kubernetes配置从YAML迁移至JSON以适配新CI流水线，一条命令完成批量转换与校验。 • A data analyst receives messy CSV export from legacy system and wants TOML for app config — tool flattens headers and cleans structure. / 数据分析师收到遗留系统导出的混乱CSV，需转为TOML供应用配置使用，工具自动压平表头并清洗数据结构。 • A developer debugging API response receives XML but prefers JSON for readability — quick conversion with schema validation ensures no fields lost. / 开发者调试API时收到XML响应，更习惯阅读JSON格式，快速转换并校验模式确保字段完整无遗漏。

Compare / 对比

	Free	Pro
Basic	✅	✅
Advanced	—	✅
AI	—	✅
Support	Community	Priority

• Unlock bulk directory batch processing — reduce hours of manual work to seconds 解锁批量文件夹处理能力，将数小时的手动操作缩短至秒级 • Access advanced nested flatten/unflatten — handle deeply complex JSON structures with ease 获取高级嵌套压平/还原功能，轻松驾驭深度复杂的JSON层级 • Get custom schema templates and ambiguous format detection — prevent costly data migration errors 拥有自定义模式模板与歧义格式识别，杜绝数据迁移中的昂贵错误\n\n

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