Automatically fix missing quotes, trailing commas, bracket mismatches, single quotes, and escape issues. Supports local repair first, with AI-assisted deep repair when needed.
Saat Anda memasukkan JSON yang tidak valid, sistem akan mencoba metode ini secara berurutan:
Mulai memperbaiki JSON
Masukkan JSON yang rusak, atau klik Import untuk memuat dari file.
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
Langkah 1 – Tempel JSON yang rusak
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
Langkah 2 – Proses perbaikan otomatis
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
Langkah 3 – Tinjau JSON yang sudah diperbaiki
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
Langkah 4 – Gunakan JSON yang bersih
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
Validasi JSON secara ketat sesuai standar dan temukan lokasi kesalahan secara tepat.
Percantik atau minify JSON dengan opsi indentasi lanjutan.
Buat JSON Schema dari data yang sudah diperbaiki untuk validasi yang lebih andal.
Ubah objek JSON menjadi interface TypeScript secara langsung.
Edit JSON yang sudah diperbaiki dalam editor tabel visual.
Sistem perbaikan kami menggunakan pendekatan berlapis: pertama pustaka JSONRepair untuk perbaikan cepat dan andal, lalu pencocokan pola dasar, dan terakhir penyedia AI (AI, OpenRouter, Groq) untuk kasus yang lebih kompleks.
Ya. Semua perbaikan lokal (pustaka JSONRepair dan pencocokan pola) dilakukan sepenuhnya di browser Anda. Kami tidak menyimpan data Anda. Jika Anda menggunakan fitur perbaikan AI untuk kasus kompleks, JSON Anda dikirim ke penyedia AI kami (AI) hanya untuk pemrosesan dan tidak disimpan maupun digunakan untuk pelatihan.
1) Pustaka JSONRepair — perbaikan cepat dan akurat untuk sebagian besar masalah umum. 2) Perbaikan dasar — perbaikan berbasis pola untuk kesalahan sintaks sederhana. 3) Perbaikan AI — AI dan penyedia AI lainnya untuk masalah struktur yang kompleks.
Ya. Kesalahan umum seperti tanda kutip yang hilang pada key, trailing comma, koma antar elemen yang hilang, dan tanda kurung yang tidak cocok akan diperbaiki otomatis oleh mesin perbaikan lokal.
Ya. Demi keandalan, perbaikan AI mendukung input hingga sekitar (~18000 karakter) per permintaan. JSON yang lebih besar biasanya bisa diperbaiki dengan metode lokal JSONRepair/perbaikan dasar, atau Anda dapat membaginya menjadi bagian yang lebih kecil sebelum menggunakan perbaikan AI.
Tidak. Anda tidak perlu API key. Untuk kasus kompleks, kami meningkatkan hasil menggunakan integrasi API AI (dikelola oleh kami) di atas perbaikan lokal JSONRepair dan perbaikan bawaan—langsung bisa digunakan.
Sangat akurat untuk masalah umum dengan pustaka JSONRepair. Pencocokan pola dasar menangani kesalahan sintaks sederhana. Bila diperlukan, penyedia AI memberikan analisis cerdas untuk masalah struktur yang kompleks.
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.
