Repository: ggerganov/whisper.cpp
File: examples/main/main.cpp (C++)

Code before:
            for (int i = 0; i < n_segments; ++i) {
                const char * text = whisper_full_get_segment_text(ctx, i);

                const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
                const int64_t t1 = whisper_full_get_segment_t1(ctx, i);

                start_obj(nullptr);
                    start_obj("timestamps");
                        value_s("from", to_timestamp(t0, true).c_str(), false);
                        value_s("to", to_timestamp(t1, true).c_str(), true);
                    end_obj(false);
                    start_obj("offsets");
                        value_i("from", t0 * 10, false);
                        value_i("to", t1 * 10, true);
                    end_obj(false);
                    value_s("text", text, !params.diarize && !params.tinydiarize && !full);

                    if (full) {
                        start_arr("tokens");
                        const int n = whisper_full_n_tokens(ctx, i);
                        for (int j = 0; j < n; ++j) {
                            auto token = whisper_full_get_token_data(ctx, i, j);
                            start_obj(nullptr);
                                value_s("text", whisper_token_to_str(ctx, token.id), false);
                                if(token.t0 > -1) {
                                    value_i("from", token.t0 * 10, false);
                                }
                                if(token.t1 > -1) {
                                    value_i("to", token.t1 * 10, false);
                                }
                                value_i("id", token.id, false);
                                value_f("p", token.p, true);
                            end_obj(j == (n - 1));
                        }
                        end_arr(!params.diarize && !params.tinydiarize);
                    }

                    if (params.diarize && pcmf32s.size() == 2) {
                        value_s("speaker", estimate_diarization_speaker(pcmf32s, t0, t1, true).c_str(), true);
                    }

                    if (params.tinydiarize) {
                        value_b("speaker_turn_next", whisper_full_get_segment_speaker_turn_next(ctx, i), true);
                    }
                end_obj(i == (n_segments - 1));
            }

        end_arr(true);
    end_obj(true);
    return true;
}

Review comment (suggestion):
```suggestion
                                    value_s("from", to_timestamp(token.t0, true).c_str(), false);
```

Code after:
            value_s("model", params.model.c_str(), false);
            value_s("language", params.language.c_str(), false);
            value_b("translate", params.translate, true);
        end_obj(false);
        start_obj("result");
            value_s("language", whisper_lang_str(whisper_full_lang_id(ctx)), true);
        end_obj(false);
        start_arr("transcription");

            const int n_segments = whisper_full_n_segments(ctx);
            for (int i = 0; i < n_segments; ++i) {
                const char * text = whisper_full_get_segment_text(ctx, i);

                const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
                const int64_t t1 = whisper_full_get_segment_t1(ctx, i);

                start_obj(nullptr);
                    times_o(t0, t1, false);
                    value_s("text", text, !params.diarize && !params.tinydiarize && !full);

                    if (full) {
                        start_arr("tokens");
                        const int n = whisper_full_n_tokens(ctx, i);
                        for (int j = 0; j < n; ++j) {
                            auto token = whisper_full_get_token_data(ctx, i, j);
                            start_obj(nullptr);
                                value_s("text", whisper_token_to_str(ctx, token.id), false);
                                if(token.t0 > -1 && token.t1 > -1) {
                                    // If we have per-token timestamps, write them out
                                    times_o(token.t0, token.t1, false);
                                }
                                value_i("id", token.id, false);
                                value_f("p", token.p, true);
                            end_obj(j == (n - 1));
                        }
                        end_arr(!params.diarize && !params.tinydiarize);
                    }

                    if (params.diarize && pcmf32s.size() == 2) {
                        value_s("speaker", estimate_diarization_speaker(pcmf32s, t0, t1, true).c_str(), true);
                    }

                    if (params.tinydiarize) {
                        value_b("speaker_turn_next", whisper_full_get_segment_speaker_turn_next(ctx, i), true);
                    }
                end_obj(i == (n_segments - 1));
            }

        end_arr(true);
    end_obj(true);
    return true;