SyntaxError: Unterminated string in JSON at position 10: what it means and how to fix it
Fix JSON parsing error (Unterminated string in JSON at position 10): what it means, top causes, and a no-upload workflow to validate and repair JSON locally.
Unterminated string in JSON trend report (2026)
2026 trend report for Unterminated string in JSON (JSON): what breaks most often, what to check first, and a no-upload fix path.
TL;DR: Validate a sample first, fix the root cause, then scale conversions only when validation is green.
Trend signals (2026)
- Redaction and privacy workflows are now baseline (copy/paste hygiene, minimal repros).
- Staged repair (format -> validate -> convert) is faster than repeated trial-and-error.
- Schema/shape checks matter more when exporting to CSV or downstream systems.
- Encoding issues (BOM, CRLF/LF, UTF-16 exports) keep causing false syntax errors.
- Strict parsers surface more precise errors; use line/position to fix the smallest break.
Delta snapshot (baseline vs current)
These are heuristic indices (not official volume data). They summarize common failure patterns and workflow friction: baseline is an indicative 2025 index, current is an indicative 2026 index.
| Metric | Baseline (2025) | Current (2026) | Delta |
|---|---|---|---|
| Recurrence index | 46 | 54 | +8 |
| Fix complexity index | 65 | 70 | +5 |
| Data risk index | 22 | 16 | -6 |
Likely change drivers
- More CSV exports from JSON increases schema/shape checks as a baseline step.
- Hidden characters (BOM, non-breaking spaces) still cause misleading “unexpected token” failures.
- Stricter parsers expose more precise errors (line/column), which helps root-cause fixes.
- NDJSON/JSONL adoption keeps rising in logs and pipelines, increasing shape mismatch issues.
Next-step forecast
Forecast: this intent is showing up more often. Expect more strict-validation failures and repeat the validate-first workflow. If this is happening in batches, adopt the playbook and standardize pre-validation before conversions.
Recurring pitfalls
- Batch-processing before validating a representative sample.
- Assuming delimiter/encoding defaults (CSV/TSV/semicolon exports).
- Copy/paste truncation or invisible characters causing misleading errors.
- Mixing strict and lenient modes without documenting output expectations.
- Exporting without checking shape consistency (arrays vs objects, repeated elements, duplicate keys).
Recommended no-upload action plan
- Validate on a representative sample (strict rules, encoding, delimiter/quotes).
- Locate the exact failing spot (position/line, token, or structural mismatch).
- Fix the minimal root cause (don’t rewrite the whole payload).
- Re-validate and only then convert/export in batch.
- Document the chosen path (strict vs lenient, repair steps, output expectations).
Next steps (by intent)
- Run the execution playbook: playbook.
- See a scenario breakdown: case study.
- Use alternative flows for messy inputs: alternatives.
- Open the hub and follow the fast workflow: Unterminated string in JSON hub.
- Check baselines: benchmark.
Recommended tools
Relevant guides
Auto-selected from existing guides. Need more: search by keyword. Or search tools: tools search.
JSON.parse: unterminated string at line 1 column 10 of the JSON data: causes and fixes
Firefox JSON.parse error (unterminated string at line 1 column 10 of the JSON data): how to use line/column to pinpoint the issue and validate JSON locally (no upload).
JSONDecodeError: Unterminated string starting at: line 1 column 10 (char 9): what it means and how to fix it
Python json JSONDecodeError (Unterminated string starting at: line 1 column 10 (char 9)): common causes (empty input, extra data, encoding) and fast fixes with local validation (no upload).
json.decoder.JSONDecodeError: Unterminated string starting at: line 1 column 10 (char 9): what it means and how to fix it
Python json.decoder JSONDecodeError (Unterminated string starting at: line 1 column 10 (char 9)): common causes (empty input, extra data, encoding) and fast fixes with local validation (no upload).
simplejson.errors.JSONDecodeError: Unterminated string starting at: line 1 column 10 (char 9): what it means and how to fix it
Python simplejson JSONDecodeError (Unterminated string starting at: line 1 column 10 (char 9)): common causes (empty input, extra data, encoding) and fast fixes with local validation (no upload).
How to fix “JSON.parse” errors (and avoid them next time)
Learn how to troubleshoot JSON.parse errors like “Unexpected token” and validate JSON safely. Includes quick fixes and a no-upload validator.
Fix newlines in JSON strings (no upload)
How to represent newlines correctly inside JSON strings and avoid parse errors.
Trailing commas in JSON: why they break parsing (and fixes)
Trailing commas are a top cause of JSON.parse errors. Learn where they appear, how to spot them quickly, and validate JSON locally (no upload).
Related by intent
- Intent hub for Unterminated string in JSON
- Execution playbook
- Method comparison
- Alternative flows
- Migration path
- Benchmark baseline
- Case study
- Trend report
- Cluster pillar
- Cross-cluster pillar: CSV
- Linkable data asset
Expert signal
Expert note: Unterminated string in JSON usually resolves fastest when triage starts from strict validation and then branches to comparison/alternative paths based on input quality.
Data snapshot 2026
| Metric | Value |
|---|---|
| Intent confidence score | 82/100 |
| Predicted CTR uplift potential | 17% |
| Target crawl depth | < 3 clicks |
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