Automatically fix missing quotes, trailing commas, bracket mismatches, single quotes, and escape issues. Supports local repair first, with AI-assisted deep repair when needed.
Al ingresar un JSON inválido, el sistema prueba estos métodos en este orden:
Comience a reparar JSON
Ingrese un JSON dañado o haga clic en Importar para cargarlo desde un archivo.
Repair JSON works best between validation and formatting. Start with the raw broken payload, let the tool try deterministic local repair first, use AI-assisted repair only if needed, then move the recovered JSON into validation, formatting, or export.
Recover broken text into usable JSON
A lot of broken JSON is not just ugly - it is completely unusable. The repair step matters because it gets that payload back into a valid JSON shape so validation, formatting, comparison, and export are possible again.
If the JSON is too broken to parse at all, starting with Repair JSON is often faster than starting with manual validation.
Repair JSON is usually used for messy real-world payloads, not classroom examples. These examples match common issues in legacy systems, config cleanup, and corrupted logs.
Useful for old systems, script-generated payloads, or manually assembled responses that almost look like JSON but are not actually valid.
This category is usually fixed by local repair alone, without needing AI.
Teams often write JavaScript object style config and only realize later that strict JSON does not allow comments or trailing commas.
Repair JSON is ideal for pulling almost-JSON config back into a strict JSON form.
When a payload includes truncation, escape damage, and multiple bracket errors at once, deterministic local rules may not be enough. That is where AI repair becomes useful.
After this kind of repair, validate the result again before trusting it in downstream workflows.
Tutorial Step
Paso 1 – Pegue su JSON dañado
The repair tool needs the original context more than a half-cleaned version. Logs, old API responses, and broken config files are often easier to repair when you keep the raw text intact instead of manually deleting large sections first.
Tutorial Step
Paso 2 – Proceso de reparación automática
Not every repair uses AI. Most broken JSON is fixed by deterministic local rules, so the real goal here is to understand the repair order instead of assuming every issue needs an AI rewrite.
Tutorial Step
Paso 3 – Revise el JSON corregido
A successful repair is not only about making the JSON parse again. You also need to confirm that the result still matches the intended business structure, especially for nested objects, arrays, and partially corrupted logs.
Tutorial Step
Paso 4 – Use su JSON limpio
Repair is the recovery step, not the final destination. Once the JSON is usable again, you should immediately move it into the right next tool depending on whether you need validation, readability, schema generation, or field-level review.
A more reliable repair workflow
Paste the raw broken JSON into Repair JSON before doing broad manual cleanup.
Let local repair run first and use that result when it is enough, rather than forcing every case through AI.
If the structure is still too broken, split the payload or let AI repair handle the more complex reconstruction.
Validate the repaired output next, then move it to the formatter, table editor, or schema tools depending on your goal.
If the result matters for team review or rollback, download the repaired version instead of only copying it to the clipboard.
Repair JSON is most useful not because it saves one comma fix, but because it recovers data that would otherwise be blocked from the rest of your JSON workflow.
Practical repair tips
Valide su JSON estrictamente y encuentre ubicaciones exactas de errores.
Formatee y minifique su JSON con opciones avanzadas de indentación.
Cree un JSON Schema a partir de los datos reparados para una validación más robusta.
Convierta su objeto JSON directamente en interfaces TypeScript.
Edite el JSON reparado en un editor de tabla visual.
El sistema utiliza un enfoque por capas: primero la biblioteca JSONRepair para correcciones rápidas y confiables, luego coincidencia de patrones básica y, por último, proveedores de IA (AI, OpenRouter, Groq) para casos complejos.
Sí. Las reparaciones locales (biblioteca JSONRepair y coincidencia de patrones) se realizan completamente en su navegador. No almacenamos ningún dato. Si usa la reparación con IA para casos complejos, su JSON se envía a nuestro proveedor de IA (AI) solo para procesarse y no se almacena ni se usa para entrenamiento.
1) Biblioteca JSONRepair — reparación rápida y precisa para la mayoría de problemas comunes. 2) Reparación básica — correcciones basadas en patrones para errores de sintaxis simples. 3) Reparación con IA — AI y otros proveedores de IA para problemas estructurales complejos.
Sí. Errores comunes como claves sin comillas, comas finales, comas faltantes entre elementos y corchetes/llaves desparejados se corrigen automáticamente con el motor local.
Sí. Por confiabilidad, la reparación con IA admite entradas de hasta aproximadamente (~18000 caracteres) por solicitud. Los JSON más grandes suelen poder corregirse con métodos locales (JSONRepair/reparación básica), o pueden dividirse en partes más pequeñas antes de usar la IA.
No. No necesita claves de API. Para casos complejos, mejoramos los resultados con nuestra integración de API de AI (gestionada por nosotros) sobre los métodos locales y correcciones integradas: funciona de inmediato.
Muy precisa para problemas comunes con la biblioteca JSONRepair. La coincidencia de patrones básica maneja errores de sintaxis simples. Cuando es necesario, los proveedores de IA aportan análisis inteligente para problemas estructurales complejos.
If large sections of the payload are missing, truncated, or business meaning depends on context only you know, automatic repair can only recover syntax, not your original intent. In that case, combine validator diagnostics with manual fixes.
